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Aclips: a Capacity and Lead Time Integrated Procedure for Scheduling

Published: 01 November 1998 Publication History

Abstract

We propose a general hierarchical procedure to address real-life job shop scheduling problems. The shop typically produces a variety of products, each with its own arrival stream, its ow route through the shop and a given customer due date. The procedure first determines the manufacturing lot sizes for each product. The objective is to minimize the expected lead time, and therefore we model the production environment as a queueing network. Given these lead times, release dates are set dynamically. This in turn creates a time window for every manufacturing order in which the various operations have to be sequenced. The sequencing logic is based on an Extended Shifting Bottleneck Procedure. These three major decisions are next incorporated into a four-phase, hierarchical, operational implementation scheme. A small numerical example is used to illustrate the methodology. The final objective however is to develop a procedure that is useful for large, real-life shops. We therefore report on a real-life application.

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  • (2018)A sustainable aggregate production planning model for the chemical process industryComputers and Operations Research10.1016/j.cor.2017.12.01194:C(154-168)Online publication date: 1-Jun-2018
  • (2016)A multi-criteria approach to robust outsourcing decision-making in stochastic manufacturing systemsComputers and Industrial Engineering10.1016/j.cie.2016.05.03298:C(275-288)Online publication date: 1-Aug-2016
  • (2015)Network and contract optimization for maintenance services with remanufacturingComputers and Operations Research10.1016/j.cor.2014.10.00354:C(232-244)Online publication date: 1-Feb-2015
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  1. Aclips: a Capacity and Lead Time Integrated Procedure for Scheduling

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    Published In

    cover image Management Science
    Management Science  Volume 44, Issue 11
    November 1998
    133 pages
    ISSN:0025-1909
    Issue’s Table of Contents

    Publisher

    INFORMS

    Linthicum, MD, United States

    Publication History

    Published: 01 November 1998

    Author Tags

    1. Leadtime Estimation
    2. Lot Size
    3. Multimachine Scheduling
    4. Queueing Networks

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    Cited By

    View all
    • (2018)A sustainable aggregate production planning model for the chemical process industryComputers and Operations Research10.1016/j.cor.2017.12.01194:C(154-168)Online publication date: 1-Jun-2018
    • (2016)A multi-criteria approach to robust outsourcing decision-making in stochastic manufacturing systemsComputers and Industrial Engineering10.1016/j.cie.2016.05.03298:C(275-288)Online publication date: 1-Aug-2016
    • (2015)Network and contract optimization for maintenance services with remanufacturingComputers and Operations Research10.1016/j.cor.2014.10.00354:C(232-244)Online publication date: 1-Feb-2015
    • (2014)Production Planning and Inventory Control in Automotive Supply Chain NetworksProceedings, Part I, of the 27th International Conference on Modern Advances in Applied Intelligence - Volume 848110.1007/978-3-319-07455-9_45(430-439)Online publication date: 3-Jun-2014
    • (2013)Optimization of a stochastic remanufacturing network with an exchange optionDecision Support Systems10.1016/j.dss.2012.05.05754:4(1548-1557)Online publication date: 1-Mar-2013
    • (2005)Optimal lot-sizing in a two-stage system with auto-correlated arrivalsProceedings of the 37th conference on Winter simulation10.5555/1162708.1163005(1705-1711)Online publication date: 4-Dec-2005
    • (2005)Lot-sizing within capacity-constrained manufacturing systems using time-phased planningProceedings of the 37th conference on Winter simulation10.5555/1162708.1162961(1433-1440)Online publication date: 4-Dec-2005
    • (2004)Optimal lot-sizing with capacity constraints and auto-correlated interarrival timesProceedings of the 36th conference on Winter simulation10.5555/1161734.1161930(1073-1078)Online publication date: 5-Dec-2004
    • (2002)Manufacturing modeling methodsProceedings of the 34th conference on Winter simulation: exploring new frontiers10.5555/1030453.1030615(1123-1129)Online publication date: 8-Dec-2002

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