The 15Th International Conference Modeling And

Total Page:16

File Type:pdf, Size:1020Kb

The 15Th International Conference Modeling And TH TTHE 1155TH IINTERNATIONAL CCONFERENCE OON MMODELING AAND AAPPLIED SSIMULATION SEPTEMBER 26-28 2016 CYPRUS EDITED BY AGOSTINO G. BRUZZONE FABIO DE FELICE CLAUDIA FRYDMAN MARINA MASSEI YURI MERKURYEV ADRIANO SOLIS PRINTED IN RENDE (CS), ITALY, SEPTEMBER 2016 ISBN 978-88-97999-70-6 (Paperback) ISBN 978-88-97999-78-2 (PDF) Proc. of the Int. Conference on Modeling and Applied Simulation 2016, I ISBN 978-88-97999-78-2; Bruzzone, De Felice, Frydman, Massei, Merkuryev and Solis, Eds. 2016 DIME UNIVERSITÀ DI GENOVA RESPONSIBILITY FOR THE ACCURACY OF ALL STATEMENTS IN EACH PAPER RESTS SOLELY WITH THE AUTHOR(S). STATEMENTS ARE NOT NECESSARILY REPRESENTATIVE OF NOR ENDORSED BY THE DIME, UNIVERSITY OF GENOA. PERMISSION IS GRANTED TO PHOTOCOPY PORTIONS OF THE PUBLICATION FOR PERSONAL USE AND FOR THE USE OF STUDENTS PROVIDING CREDIT IS GIVEN TO THE CONFERENCES AND PUBLICATION. PERMISSION DOES NOT EXTEND TO OTHER TYPES OF REPRODUCTION NOR TO COPYING FOR INCORPORATION INTO COMMERCIAL ADVERTISING NOR FOR ANY OTHER PROFIT – MAKING PURPOSE. OTHER PUBLICATIONS ARE ENCOURAGED TO INCLUDE 300 TO 500 WORD ABSTRACTS OR EXCERPTS FROM ANY PAPER CONTAINED IN THIS BOOK, PROVIDED CREDITS ARE GIVEN TO THE AUTHOR(S) AND THE CONFERENCE. FOR PERMISSION TO PUBLISH A COMPLETE PAPER WRITE TO: DIME UNIVERSITY OF GENOA, PROF. AGOSTINO BRUZZONE, VIA OPERA PIA 15, 16145 GENOVA, ITALY. ADDITIONAL COPIES OF THE PROCEEDINGS OF THE MAS ARE AVAILABLE FROM DIME UNIVERSITY OF GENOA, PROF. AGOSTINO BRUZZONE, VIA OPERA PIA 15, 16145 GENOVA, ITALY. ISBN 978-88-97999-70-6 (Paperback) ISBN 978-88-97999-78-2 (PDF) Proc. of the Int. Conference on Modeling and Applied Simulation 2016, II ISBN 978-88-97999-78-2; Bruzzone, De Felice, Frydman, Massei, Merkuryev and Solis, Eds. THE 15TH INTERNATIONAL CONFERENCE ON MODELING AND APPLIED SIMULATION, MAS 2016 SEPTEMBER 26-28 2016, CYPRUS ORGANIZED BY DIME – UNIVERSITY OF GENOA LIOPHANT SIMULATION SIMULATION TEAM IMCS – INTERNATIONAL MEDITERRANEAN & LATIN AMERICAN COUNCIL OF SIMULATION DIMEG, UNIVERSITY OF CALABRIA MSC-LES, MODELING & SIMULATION CENTER, LABORATORY OF ENTERPRISE SOLUTIONS MODELING AND SIMULATION CENTER OF EXCELLENCE (MSCOE) LATVIAN SIMULATION CENTER – RIGA TECHNICAL UNIVERSITY LOGISIM LSIS – LABORATOIRE DES SCIENCES DE L’INFORMATION ET DES SYSTEMES MIMOS – MOVIMENTO ITALIANO MODELLAZIONE E SIMULAZIONE MITIM PERUGIA CENTER – UNIVERSITY OF PERUGIA BRASILIAN SIMULATION CENTER, LAMCE-COPPE-UFRJ MITIM - MCLEOD INSTITUTE OF TECHNOLOGY AND INTEROPERABLE MODELING AND SIMULATION – GENOA CENTER M&SNET - MCLEOD MODELING AND SIMULATION NETWORK Proc. of the Int. Conference on Modeling and Applied Simulation 2016, III ISBN 978-88-97999-78-2; Bruzzone, De Felice, Frydman, Massei, Merkuryev and Solis, Eds. LATVIAN SIMULATION SOCIETY ECOLE SUPERIEURE D'INGENIERIE EN SCIENCES APPLIQUEES FACULTAD DE CIENCIAS EXACTAS. INGEGNERIA Y AGRIMENSURA UNIVERSITY OF LA LAGUNA CIFASIS: CONICET-UNR-UPCAM INSTICC - INSTITUTE FOR SYSTEMS AND TECHNOLOGIES OF INFORMATION, CONTROL AND COMMUNICATION NATIONAL RUSSIAN SIMULATION SOCIETY CEA - IFAC UNIVERSITY OF BORDEAUX UNIVERSITY OF CYPRUS I3M 2016 INDUSTRIAL SPONSORS CAL-TEK SRL LIOTECH LTD MAST SRL SIM-4-FUTURE I3M 2016 MEDIA PARTNERS INDERSCIENCE PUBLISHERS – INTERNATIONAL JOURNAL OF SIMULATION AND PROCESS MODELING Proc. of the Int. Conference on Modeling and Applied Simulation 2016, IV ISBN 978-88-97999-78-2; Bruzzone, De Felice, Frydman, Massei, Merkuryev and Solis, Eds. INDERSCIENCE PUBLISHERS – INTERNATIONAL JOURNAL OF CRITICAL INFRASTRUCTURES INDERSCIENCE PUBLISHERS – INTERNATIONAL JOURNAL OF ENGINEERING SYSTEMS MODELLING AND SIMULATION INDERSCIENCE PUBLISHERS – INTERNATIONAL JOURNAL OF SERVICE AND COMPUTING ORIENTED MANUFACTURING IGI GLOBAL – INTERNATIONAL JOURNAL OF PRIVACY AND HEALTH INFORMATION MANAGEMENT HALLDALE MEDIA GROUP: MILITARY SIMULATION AND TRAINING MAGAZINE HALLDALE MEDIA GROUP: THE JOURNAL FOR HEALTHCARE EDUCATION, SIMULATION AND TRAINING SAGE SIMULATION TRANSACTION OF SCS DE GRUYTER INTERNATIONAL JOURNAL OF FOOD ENGINEERING Proc. of the Int. Conference on Modeling and Applied Simulation 2016, V ISBN 978-88-97999-78-2; Bruzzone, De Felice, Frydman, Massei, Merkuryev and Solis, Eds. EDITORS AGOSTINO BRUZZONE MITIM-DIME, UNIVERSITY OF GENOA, ITALY [email protected] FABIO DE FELICE UNIVERSITY OF CASSINO, ITALY [email protected] CLAUDIA FRYDMAN LABORATOIRE DES SCIENCES DE L’INFORMATION ET DES SYSTÈMES, LSIS, FRANCE [email protected] MARINA MASSEI DIME, UNIVERSITY OF GENOA, ITALY [email protected] YURI MERKURYEV RIGA TECHNICAL UNIVERSITY, LATVIA [email protected] ADRIANO SOLIS YORK UNIVERSITY, CANADA [email protected] Proc. of the Int. Conference on Modeling and Applied Simulation 2016, VI ISBN 978-88-97999-78-2; Bruzzone, De Felice, Frydman, Massei, Merkuryev and Solis, Eds. THE INTERNATIONAL MULTIDISCIPLINARY MODELING AND SIMULATION MULTICONFERENCE, I3M 2016 GENERAL CO-CHAIRS AGOSTINO BRUZZONE, MITIM-DIME, UNIVERSITY OF GENOA, ITALY YURI MERKURYEV, RIGA TECHNICAL UNIVERSITY, LATVIA PROGRAM CHAIR FRANCESCO LONGO, DIMEG, UNIVERSITY OF CALABRIA, ITALY THE 15TH INTERNATIONAL CONFERENCE ON MODELING AND APPLIED SIMULATION, MAS 2016 GENERAL CO-CHAIRS CLAUDIA FRYDMAN, LSIS, FRANCE MARINA MASSEI, LIOPHANT SIMULATION, ITALY PROGRAM CO-CHAIRS FABIO DE FELICE, UNIVERSITY OF CASSINO, ITALY ADRIANO SOLIS, YORK UNIVERSITY, CANADA Proc. of the Int. Conference on Modeling and Applied Simulation 2016, VII ISBN 978-88-97999-78-2; Bruzzone, De Felice, Frydman, Massei, Merkuryev and Solis, Eds. MAS 2016 INTERNATIONAL PROGRAM TRACKS AND WORKSHOP CHAIRS COMMITTEE INVENTORY MANAGEMENT SIMULATION THÈCLE ALIX, IMS UNIVERSITÉ BORDEAUX 1, FRANCE CHAIRS: ADRIANO SOLIS, YORK UNIVERSITY, CANADA; LETIZIA AGOSTINO BRUZZONE, UNIVERSITY OF GENOA, ITALY NICOLETTI, CAL-TEK SRL, ITALY JUAN LUIS CRESPO MARIÑO, TECNOLÓGICO DE COSTA RICA ALESSANDRO CHIURCO, UNIVERSITY OF CALABRIA, ITALY PRODUCTION SYSTEMS DESIGN GERSON CUNHA, LAMCE COPPE UFRJ, BRAZIL CHAIR: DAVID DEL RIO VILAS, UNIVERSITY OF LA CORUNA, SPAIN FABIO DE FELICE, UNIVERSITY OF CASSINO, ITALY DAVID DEL RIO VILAS, UNIVERSITY OF LA CORUNA, SPAIN DECISION SUPPORT SYSTEMS APPLICATIONS CLAUDIA FRYDMAN, LSIS, FRANCE CHAIRS: FABIO DE FELICE, UNIVERISITY OF CASSINO, ITALY; YILIN HUANG, DELFT UNIVERSITY OF TECHNOLOGY, NETHERLANDS ANTONELLA PETRILLO,UNIVERISITY OF CASSINO, ITALY JANOS SEBESTYEN JANOSY, CENTRE FOR ENERGY RESEARCH HUNGARIAN ACADEMY OF SCIENCES, HUNGARY SIMULATION IN ENERGY GENERATION AND DISTRIBUTION PASQUALE LEGATO, UNIVERSITY OF CALABRIA, ITALY CHAIR: JANOS SEBESTYEN JANOSY, CENTRE FOR ENERGY RESEARCH FRANCESCO LONGO, MSC-LES, UNIVERSITY OF CALABRIA, ITALY HUNGARIAN ACADEMY OF SCIENCES (HAS), HUNGARY JOSÉ M. CECILIA, UNIVERSIDAD CATÓLICA SAN ANTONIO, SPAIN MARINA MASSEI, LIOPHANT SIMULATION, ITALY THE INTERPLAY BETWEEN BEHAVIOURAL GAME THEORY AND RINA MARY MAZZA, UNIVERSITY OF CALABRIA, ITALY AGENT-BASED SOCIAL SIMULATION NAAMANE AZIZ, LSIS, FRANCE CHAIRS: PEER-OLAF SIEBERS, NOTTINGHAM UNIVERSITY, UK; PROF LETIZIA NICOLETTI, CAL-TEK SRL, ITALY THEODORE L. TUROCY, UNIVERSITY OF EAST ANGLIA, UK ANTONIO PADOVANO, UNIVERSITY OF CALABRIA, ITALY DIEGO CRESPO PEREIRA, UNIVERSITY OF A CORUNA, SPAIN PROMOTING ENTERPRISE INTEROPERABILITY BY SERVICE HORACIO EMILIO PÉREZ SÁNCHEZ, UNIVERSIDAD DE MURCIA, SPAIN MODELING & SIMULATION ANTONELLA PETRILLO, UNIVERSITY OF CASSINO, ITALY CHAIRS: THÈCLE ALIX, IMS UNIVERSITÉ BORDEAUX 1, FRANCE; ROSA RIOS PRADO, UNIVERSITY OF A CORUNA, SPAIN GREGORY ZACHAREWICZ, IMS UNIVERSITÉ BORDEAUX 1, FRANCE MARIA CELIA SANTOS LOPES, LAMCE/COPPE/UFRJ - BRASIL PEER OLAF SIEBERS, UNIVERSITY OF NOTTINGHAM, UK GEORGIOS CH SIMULATION BASED DESIGN ADRIANO SOLIS, YORK UNIVERSITY, CANADA CHAIR: YILIN HUANG, DELFT UNIVERSITY OF TECHNOLOGY, THEODORE L. TUROCY, UNIVERSITY OF EAST ANGLIA, UK NETHERLANDS GREGORY ZACHAREWICZ, IMS UNIVERSITÉ BORDEAUX 1, FRANCE AUTOMATION CHAIR: NAAMANE AZIZ, LABORATOIRE DES SCIENCES DE L’INFORMATION ET DES SYSTÈMES, FRANCE WORKSHOP ON VIRTUAL AND AUGMENTED REALITY CHAIRS: GERSON CUNHA, LAMCE/COPPE/UFRJ, BRASIL; MARIA CELIA SANTOS LOPES, LAMCE/COPPE/UFRJ, BRASIL SIMULATION AND HUMAN FACTORS ENGINEERING CHAIR: DIEGO CRESPO PEREIRA, UNIVERSITY OF LA CORUNA, SPAIN SIMULATION BASED OPTIMIZATION CHAIRS: PASQUALE LEGATO, UNIVERSITY OF CALABRIA, ITALY; RINA MARY MAZZA, UNIVERSITY OF CALABRIA, ITALY HIGH PERFORMANCE SIMULATION OF BIOLOGICAL SYSTEMS CHAIRS: HORACIO PÉREZ-SÁNCHEZ, UNIVERSIDAD CATÓLICA SAN ANTONIO, SPAIN; JOSÉ M. CECILIA UNIVERSIDAD CATÓLICA SAN ANTONIO, SPAIN WORKSHOP ON SERIOUS GAMES APPLIED TO SECURITY, CRISIS MANAGEMENT AND SAFETY CHAIRS: FRANCESCO LONGO UNIVERSITY OF CALABRIA, ITALY; GOSTINO RUZZONE NIVERSITY OF ENOA TALY A B , U G , I TRACKS ON APPLIED CONTROL AND AUTOMATION (COMMON TRACK MAS– IMAACA) CHAIRS: SERGIO JUNCO, UNIVERSIDAD NACIONAL DE ROSARIO, ARGENTINA; GENEVIÈVE DAUPHIN-TANGUY, ECOLE CENTRALE DE LILLE, FRANCE HUMAN-CENTRED AND HUMAN-FOCUSED MODELLING AND SIMULATION (COMMON TRACK MAS-EMSS) CHAIRS: AGOSTINO BRUZZONE, DIME, UNIVERSITY OF GENOA, ITALY; PEER OLAF SIEBERS, UNIVERSITY OF NOTTINGHAM, UK TOWARDS A UNIVERSAL FRAMEWORK FOR THE INTELLIGENT SOCIAL SIMULATION-BASED SYSTEMS (ISSS) CHAIR: ANTONIO PADOVANO, UNIVERSITY OF CALABRIA, ITALY Proc. of the Int. Conference on Modeling and Applied Simulation 2016, VIII ISBN 978-88-97999-78-2; Bruzzone, De Felice, Frydman, Massei, Merkuryev and Solis, Eds. CHAIRS’ MESSAGE WELCOME TO MAS 2016! On behalf of the International Program Committee it is our pleasure to present to you the proceedings of the 15th International Conference on Modeling
Recommended publications
  • Guided Local Search
    GUIDED LOCAL SEARCH Christos Voudouris, Edward P. K. Tsang and Abdullah Alsheddy Abstract Combinatorial explosion problem is a well known phenomenon that pre- vents complete algorithms from solving many real-life combinatorial optimization problems. In many situations, heuristic search methods are needed. This chapter de- scribes the principles of Guided Local Search (GLS) and Fast Local Search (FLS) and surveys their applications. GLS is a penalty-based meta-heuristic algorithm that sits on top of other local search algorithms, with the aim to improve their efficiency and robustness. FLS is a way of reducing the size of the neighbourhood to improve the efficiency of local search. The chapter also provides guidance for implement- ing and using GLS and FLS. Four problems, representative of general application categories, are examined with detailed information provided on how to build a GLS- based method in each case. Key words: Heuristic Search, Meta-Heuristics, Penalty-based Methods, Guided Local Search, Tabu Search, Constraint Satisfaction. 1 INTRODUCTION Many practical problems are NP-hard in nature, which means complete, construc- tive search is unlikely to satisfy our computational demand. For example, suppose Christos Voudouris Group Chief Technology Office, BT plc, Orion Building, mlb1/pp12, Marthlesham Heath, Ipswich, IP5 3RE, United Kingdom, e-mail: [email protected] Edward P. K. Tsang Department of Computer Science, Univeristy of Essex, Wivenhoe Park, Colchester, CO4 3SQ, United Kingdom, e-mail: [email protected] Abdullah Alsheddy Department of Computer Science, Univeristy of Essex, Wivenhoe Park, Colchester, CO4 3SQ, United Kingdom, e-mail: [email protected] 1 2 Christos Voudouris, Edward P.
    [Show full text]
  • (Stochastic) Local Search Algorithms
    DM841 DISCRETE OPTIMIZATION Part 2 – Heuristics (Stochastic) Local Search Algorithms Marco Chiarandini Department of Mathematics & Computer Science University of Southern Denmark Local Search Algorithms Basic Algorithms Outline Local Search Revisited 1. Local Search Algorithms 2. Basic Algorithms 3. Local Search Revisited Components 2 Local Search Algorithms Basic Algorithms Outline Local Search Revisited 1. Local Search Algorithms 2. Basic Algorithms 3. Local Search Revisited Components 3 Local Search Algorithms Basic Algorithms Local Search Algorithms Local Search Revisited Given a (combinatorial) optimization problem Π and one of its instances π: 1. search space S(π) I specified by the definition of (finite domain, integer) variables and their values handling implicit constraints I all together they determine the representation of candidate solutions I common solution representations are discrete structures such as: sequences, permutations, partitions, graphs (e.g., for SAT: array, sequence of truth assignments to propositional variables) Note: solution set S 0(π) ⊆ S(π) (e.g., for SAT: models of given formula) 4 Local Search Algorithms Basic Algorithms Local Search Algorithms (cntd) Local Search Revisited 2. evaluation function fπ : S(π) ! R I it handles the soft constraints and the objective function (e.g., for SAT: number of false clauses) S(π) 3. neighborhood function, Nπ : S ! 2 I defines for each solution s 2 S(π) a set of solutions N(s) ⊆ S(π) that are in some sense close to s. (e.g., for SAT: neighboring variable assignments differ in the truth value of exactly one variable) 5 Local Search Algorithms Basic Algorithms Local Search Algorithms (cntd) Local Search Revisited Further components [according to [HS]] 4.
    [Show full text]
  • Production Planning in Different Stages of a Manufacturing Supply Chain Under Multiple Uncertainties Goutham Ramaraj Iowa State University
    Iowa State University Capstones, Theses and Graduate Theses and Dissertations Dissertations 2017 Production planning in different stages of a manufacturing supply chain under multiple uncertainties Goutham Ramaraj Iowa State University Follow this and additional works at: https://lib.dr.iastate.edu/etd Part of the Industrial Engineering Commons, and the Operational Research Commons Recommended Citation Ramaraj, Goutham, "Production planning in different stages of a manufacturing supply chain under multiple uncertainties" (2017). Graduate Theses and Dissertations. 16108. https://lib.dr.iastate.edu/etd/16108 This Thesis is brought to you for free and open access by the Iowa State University Capstones, Theses and Dissertations at Iowa State University Digital Repository. It has been accepted for inclusion in Graduate Theses and Dissertations by an authorized administrator of Iowa State University Digital Repository. For more information, please contact [email protected]. Production planning in different stages of a manufacturing supply chain under multiple uncertainties by Goutham Ramaraj A thesis submitted to the graduate faculty in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE Major: Industrial Engineering Program of Study Committee: Guiping Hu, Major Professor Lizhi Wang Stephen Vardeman The student author and the program of study committee are solely responsible for the content of this thesis. The Graduate College will ensure this thesis is globally accessible and will not permit alterations after a degree is conferred. Iowa State University Ames, Iowa 2017 Copyright © Goutham Ramaraj, 2017. All rights reserved. ii DEDICATION To my family for their unconditional support. iii TABLE OF CONTENTS Page ACKNOWLEDGMENTS ......................................................................................... v ABSTRACT………………………………. .............................................................. vi CHAPTER 1 GENERAL INTRODUCTION ......................................................
    [Show full text]
  • Improving Construction Workflow- the Role of Production Planning and Control
    Improving Construction Workflow- The Role of Production Planning and Control by Farook Ramiz Hamzeh MS (University of California at Berkeley) 2006 M Eng. (American University of Beirut) 2000 B Eng. (American University of Beirut) 1997 A dissertation submitted in partial satisfaction of the requirements for the degree of Doctor of Philosophy in Engineering - Civil and Environmental Engineering in the GRADUATE DIVISION of the UNIVERSITY OF CALIFORNIA, BERKELEY Committee in charge: Professor Iris D. Tommelein (CEE), Chair Professor Glenn Ballard (CEE) Professor Phil Kaminsky (IEOR) Fall 2009 Improving Construction Workflow- The Role of Production Planning and Control Copyright 2009 by Farook Ramiz Hamzeh Abstract Improving Construction Workflow- The Role of Production Planning and Control by Farook Ramiz Hamzeh Doctor of Philosophy in Engineering - Civil and Environmental Engineering University of California, Berkeley Professor Iris D. Tommelein (CEE), Co-Chair, Professor Glenn Ballard (CEE), Co-Chair The Last PlannerTM System (LPS) has been implemented on construction projects to increase work flow reliability, a precondition for project performance against productivity and progress targets. The LPS encompasses four tiers of planning processes: master scheduling, phase scheduling, lookahead planning, and commitment / weekly work planning. This research highlights deficiencies in the current implementation of LPS including poor lookahead planning which results in poor linkage between weekly work plans and the master schedule. This poor linkage
    [Show full text]
  • Planning and Scheduling in Supply Chains: an Overview of Issues in Practice
    PRODUCTION AND OPERATIONS MANAGEMENT POMS Vol. 13, No. 1, Spring 2004, pp. 77–92 issn 1059-1478 ͉ 04 ͉ 1301 ͉ 077$1.25 © 2004 Production and Operations Management Society Planning and Scheduling in Supply Chains: An Overview of Issues in Practice Stephan Kreipl • Michael Pinedo SAP Germany AG & Co.KG, Neurottstrasse 15a, 69190 Walldorf, Germany Stern School of Business, New York University, 40 West Fourth Street, New York, New York 10012 his paper gives an overview of the theory and practice of planning and scheduling in supply chains. TIt first gives an overview of the various planning and scheduling models that have been studied in the literature, including lot sizing models and machine scheduling models. It subsequently categorizes the various industrial sectors in which planning and scheduling in the supply chains are important; these industries include continuous manufacturing as well as discrete manufacturing. We then describe how planning and scheduling models can be used in the design and the development of decision support systems for planning and scheduling in supply chains and discuss in detail the implementation of such a system at the Carlsberg A/S beerbrewer in Denmark. We conclude with a discussion on the current trends in the design and the implementation of planning and scheduling systems in practice. Key words: planning; scheduling; supply chain management; enterprise resource planning (ERP) sys- tems; multi-echelon inventory control Submissions and Acceptance: Received October 2002; revisions received April 2003; accepted July 2003. 1. Introduction taking into account inventory holding costs and trans- This paper focuses on models and solution ap- portation costs.
    [Show full text]
  • Production Planning and Control of Closed-Loop Supply Chains
    View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Erasmus University Digital Repository Production planning and control of closed-loop supply chains Karl Inderfurth Otto-von-Guericke University Magdeburg, Faculty of Economics and Management, P.O.Box 4120, 39016 Magdeburg, Germany, [email protected] Ruud H. Teunter Erasmus University Rotterdam, Econometric Institute, P.O.Box 1738, 3000 DR Rotterdam, The Netherland, [email protected] Econometric Institute Report EI 2001 - 39 1. Introduction Closed-loop supply chains are characterized by the recovery of returned products. In most of these chains (e.g. glass, metal, paper, computers, copiers), used products (also known as cores) are returned by or collected from customers. But returned products can also come from production facilities within the supply chain (production defectives, by-products. In cases with internal returns, recovery is often referred to as rework. There are two main types of recovery: remanufacturing (product/part recovery) and recycling (material recovery). Energy recovery via incineration could be considered as a third type. Combinations of different recovery types are also possible. It is often not easy to decide what the best product recovery strategy is. Moreover, for a number of reasons, it is difficult to plan and control operations in closed-loop supply chains. Based on a literature review, [Guide 2000] lists the following complicating characteristics for planning and controlling a supply chain with remanufacturing of external returns: 1. The requirement for a reverse logistics network 2. The uncertain timing and quality of cores 3. The disassembly of cores 4.
    [Show full text]
  • Lesson 1: Introduction to Production, Planning, and Control (PPC) Systems
    CME130 Surveillance Implications of Manufacturing and Subcontractor Management Module 2 Lesson 1: Introduction to Production, Planning, and Control (PPC) Systems Lesson 1: Introduction to Production, Planning, and Control (PPC) Systems Content Student Notes 1. Production, Planning and Control (PPC) Systems. This module covers: • An introduction to Production, Planning and Control. • Guidelines on Sales and Operations Planning (S&OP) and Aggregate Planning. • Definition of Demand Management and three types of demand forecast techniques. • How Master Production Scheduling (MPS) is tracked and measured. • An introduction in using the Materials Requirements Planning (MRP) to identify resource risks and mitigate impact on deliverables. 2. The video you are about to see is a narrative by Manufacturing Branch Chief of DCMA Quality Assurance, Mr. Jackson, discussing what Phase 1 of the course means for the students. 1 Defense Acquisition University Student Guide CME130 Surveillance Implications of Manufacturing and Subcontractor Management Module 2 Lesson 1: Introduction to Production, Planning, and Control (PPC) Systems Lesson 1: Introduction to Production, Planning, and Control (PPC) Systems Content Student Notes 3. Module 2’s Terminal Learning Objective Module 2 contains 5 lessons: • Lesson 1: Introduction to Production, Planning, and Control (PPC) • Lesson 2: Sales and Operations Planning (S&OP) and Aggregate Planning • Lesson 3: Demand Management • Lesson 4: Master Production Scheduling (MPS) • Lesson 5: Introduction to Materials Requirements Planning (MRP) 4. Lesson 1: Introduction to Production, Planning, and Control (PPC) Systems. 5. Lesson objectives. Upon completion of this lesson, you should be able to: • Contrast the role of PPC systems across strategic, tactical, and operational timeframes. • Describe PPC processes and activities across strategic, tactical, and operational timeframes.
    [Show full text]
  • Exploring High-Order Neighborhoods by Pattern Mining and Injection
    PILS: Exploring high-order neighborhoods by pattern mining and injection Florian Arnolda, ´Italo Santanab, Kenneth S¨orensena, Thibaut Vidalb∗ a University of Antwerp, Department of Engineering Management, Belgium fflorian.arnold,[email protected] bDepartamento de Inform´atica,Pontif´ıciaUniversidade Cat´olicado Rio de Janeiro (PUC-Rio) fisantana,[email protected] Abstract. We introduce pattern injection local search (PILS), an optimization strategy that uses pattern mining to explore high-order local-search neighborhoods, and illustrate its application on the vehicle routing problem. PILS operates by storing a limited number of frequent patterns from elite solutions. During the local search, each pattern is used to define one move in which 1) incompatible edges are disconnected, 2) the edges defined by the pattern are reconnected, and 3) the remaining solution fragments are optimally reconnected. Each such move is accepted only in case of solution improvement. As visible in our experiments, this strategy results in a new paradigm of local search, which complements and enhances classical search approaches in a controllable amount of computational time. We demonstrate that PILS identifies useful high-order moves (e.g., 9-opt and 10-opt) which would otherwise not be found by enumeration, and that it significantly improves the performance of state-of-the-art population-based and neighborhood-centered metaheuristics. Keywords. Local search, Pattern mining, Combinatorial optimization, Vehicle routing problem ∗ Corresponding author 1. Introduction Since the \no free lunch" theorem [46], it is known that no method can | on average | perform arXiv:1912.11462v1 [cs.AI] 24 Dec 2019 better than any other method on all possible problems.
    [Show full text]
  • On the Design of (Meta)Heuristics
    On the design of (meta)heuristics Tony Wauters CODeS Research group, KU Leuven, Belgium There are two types of people • Those who use heuristics • And those who don’t ☺ 2 Tony Wauters, Department of Computer Science, CODeS research group Heuristics Origin: Ancient Greek: εὑρίσκω, "find" or "discover" Oxford Dictionary: Proceeding to a solution by trial and error or by rules that are only loosely defined. Tony Wauters, Department of Computer Science, CODeS research group 3 Properties of heuristics + Fast* + Scalable* + High quality solutions* + Solve any type of problem (complex constraints, non-linear, …) - Problem specific (but usually transferable to other problems) - Cannot guarantee optimallity * if well designed 4 Tony Wauters, Department of Computer Science, CODeS research group Heuristic types • Constructive heuristics • Metaheuristics • Hybrid heuristics • Matheuristics: hybrid of Metaheuristics and Mathematical Programming • Other hybrids: Machine Learning, Constraint Programming,… • Hyperheuristics 5 Tony Wauters, Department of Computer Science, CODeS research group Constructive heuristics • Incrementally construct a solution from scratch. • Easy to understand and implement • Usually very fast • Reasonably good solutions 6 Tony Wauters, Department of Computer Science, CODeS research group Metaheuristics A Metaheuristic is a high-level problem independent algorithmic framework that provides a set of guidelines or strategies to develop heuristic optimization algorithms. Instead of reinventing the wheel when developing a heuristic
    [Show full text]
  • The Applicability and Impact of Enterprise Resource Planning (ERP) Systems: Results from a Mixed Method Study on Make-To-Order (MTO) Companies
    The Applicability and Impact of Enterprise Resource Planning (ERP) Systems: Results from a Mixed Method Study on Make-To-Order (MTO) Companies * Bulut Aslan , Mark Stevenson, and Linda C. Hendry Name: Dr Bulut Aslan Institution: Istanbul Bilgi University Address: Department of Industrial Engineering Kazim Karabekir Cad. No: 2 34060, Eyup, Istanbul Turkey E-mail: [email protected] Tel: 00 90 212 3117440 Name: Dr Mark Stevenson Institution: Lancaster University Address: Department of Management Science Lancaster University Management School Lancaster University LA1 4YX U.K. Name: Professor Linda C Hendry Professor of Operations Management Institution: Lancaster University Address: Department of Management Science Lancaster University Management School Lancaster University LA1 4YX U.K. Keywords: Enterprise Resource Planning (ERP) systems; Make-To-Order (MTO); Mixed method study; Survey; Case study. * Corresponding Author: [email protected] The Applicability and Impact of Enterprise Resource Planning (ERP) Systems: Results from a Mixed Method Study on Make-To- Order (MTO) Companies Abstract The effect of a Make-To-Order (MTO) production strategy on the applicability and impact of Enterprise Resource Planning (ERP) systems is investigated through a mixed method approach comprised of an exploratory and explanatory survey followed by three case studies. Data on Make- To-Stock (MTS) companies is also collected as a basis for comparison. The exploratory data demonstrates, for example, that MTO adopters of ERP found the system selection process more difficult than MTS adopters. Meanwhile, a key reason why some MTO companies have not adopted ERP is that it is perceived as unsuitable. The explanatory data is used to test a series of hypotheses on the fit between decision support requirements, ERP functionality, and company performance.
    [Show full text]
  • Developing an Enterprise Operating System for the Monitoring and Control of Enterprise Operations Joseph Youssef
    Developing an enterprise operating system for the monitoring and control of enterprise operations Joseph Youssef To cite this version: Joseph Youssef. Developing an enterprise operating system for the monitoring and control of enterprise operations. Other [cond-mat.other]. Université de Bordeaux, 2017. English. NNT : 2017BORD0761. tel-01760341 HAL Id: tel-01760341 https://tel.archives-ouvertes.fr/tel-01760341 Submitted on 6 Apr 2018 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. THÈSE PRÉSENTÉE POUR OBTENIR LE GRADE DE DOCTEUR DE L’UNIVERSITÉ DE BORDEAUX ECOLE DOCTORALE DES SCIENCES PHYSIQUES ET DE L’INGÉNIEUR SPECIALITE : PRODUCTIQUE Par Joseph YOUSSEF DEVELOPING AN ENTERPRISE OPERATING SYSTEM FOR THE MONITORING AND CONTROL OF ENTERPRISE OPERATIONS Sous la direction de : David CHEN (Co-directeur : Gregory ZACHAREWICZ) Soutenue le 21 Décembre 2017 Membres du jury : M. DUCQ, Yves Professeur, Université de Bordeaux Président M. KASSEL, Stephan Professeur, Université des Sciences Appliquées de Zwickau Rapporteur M. ARCHIMEDE, Bernard Professeur, Ecole Nationale D’Ingénieurs de Tarbes Rapporteur M. CHEN, David Professeur, Université de Bordeaux Directeur M. ZACHAREWICZ, Gregory MCF (H.D.R), Université de Bordeaux Co-directeur M. DACLIN, Nicolas Maître-Assistant, Ecole des Mines d’Alès Examinateur 2 Titre : Développement d’un Système D’exploitation des Entreprises pour le Suivi et le Contrôle des Opérations.
    [Show full text]
  • A Novel LP-Based Local Search Technique – Fast and Quite Good –
    A Novel LP-based Local Search Technique – Fast and Quite Good – Vom Fachbereich Informatik der Technische Universit¨at Darmstadt zur Erlangung des akademischen Grades eines Dr. rer. nat. genehmigte Dissertation von Herrn Alaubek Avdil (M.Sc.) aus der Ulaanbaatar, Mongolei Referent: Professor Dr. Karsten Weihe Korreferent: Professor Dr. Matthias M¨uller-Hannemann Tag der Einreichung: 04. Juni 2009 Tag der m¨undlichen Pr¨ufung: 17. Juli 2009 Darmstadt 2009 D 17 ii Acknowledgments I want to express my deep and sincere gratitude to my supervisor Prof. Karsten Weihe for enabling my doctoral study, inspiring with scientific work and motivating and providing me pleasant research and work atmosphere. Without his trust and encouragement my research would not be done and this theses would not exist. I am extremely grateful to Prof. Matthias M¨uller-Hannemann for his invaluable support and advice on my research, excellent and critical review to improve the presentation of my work, and for his friendship, and making it possible for my young family be close with me during my doctoral study in Germany. I would like to express my warm and sincere thanks to the colleagues and members of Algorithmics Group at the Department of Computer Science of Technische Universit¨at Darmstadt for their support and valuable comments on my research. My special ackno- wledgment goes to Dr. Roland Martin for his unforgettable support and encouragement during my doctoral study, and his detailed review and constructive criticism during the writing process of my dissertation. I wish to extend my warmest thanks to all people, who have helped me with my work at the Department of Computer Science at Technische Universit¨at Darmstadt.
    [Show full text]