Optimizing Modular Machining Line Design Problem with Mixed Activation Mode of Machining Units
Journal Title: Decision Making in Manufacturing and Services - Year 2007, Vol 1, Issue 1
Abstract
A modular transfer line designing problem is investigated. The problem is to find the best subset of modules (machining units) from a given set and to assign them to different stations so that technological constraints and cycle upper limit are respected and the line cost is minimal. The investigated lines have a mixed activation mode for the machining units of each station, i.e. the units of each station are arranged into a series of stages such that each stage is composed of several units activated in parallel. A mixed integer program approach is proposed to model and solve the corresponding design problem. Improvements are suggested in order to reduce the model size and speed up the computations.
Authors and Affiliations
Sana Belmokhtar, Alexandre Dolgui, Xavier Delorme, Ivan Ignatenko
Corrigendum to ”Neighbourhood Properties in Some Single Processor Scheduling Problem with Variable Efficiency and Additional Resources”
Amendment to [Decision Making in Manufacturing and Services, vol. 5 (1–2), 2011, pp. 5–17
Competitive location under proportional choice: 1-suboptimal points on networks
This paper is concerned with a competitive or voting location problem on networks under a proportional choice rule that has previously been introduced by Bauer et al. (1993). We refine a discretization result of the auth...
A Reference Point Method to Triple-Objective Assignment of Supporting Services in a Healthcare Institution
This paper presents an application of mixed integer programming model for op- timal allocation of workers among supporting services in a hospital. The services include logistics, inventory management, financial managemen...
Modelling Set-up Times Overlapping Two Periods in the Proportional Lot-Sizing Problem with Identical Parallel Machines
This paper presents a new mixed integer programming model for the Proportional Lot-Sizing Problem (PLSP) with identical parallel machines and set-up times overlappingtwo periods. The proposed model assumes constant perio...
Application of a Fuzzy Inference System for the Optimization of Material Removal Rate and Multiple Surface Roughness Characteristics in the Machining of GFRP Polyester Composites
This paper presents a multi-objective extended optimization methodology applied in the machining of a randomly oriented GFRP rod. Design of Experiment (DOE) has been selected based on a L9 orthogonal array design with va...