Simultaneous production and logistics operations planning in semicontinuous food industries

The production and logistics operations planning in real-life single- or multi-site semicontinuous food industries is addressed in this work. A discrete/continuous-time mixed integer programming model, based on the definition of families of products, is developed for the problem in question. A remar...

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Vydáno v:Omega (Oxford) Ročník 40; číslo 5; s. 634 - 650
Hlavní autoři: Kopanos, Georgios M., Puigjaner, Luis, Georgiadis, Michael C.
Médium: Journal Article Publikace
Jazyk:angličtina
Vydáno: Kidlington Elsevier Ltd 01.10.2012
Elsevier
Edice:Omega
Témata:
Alimentació
Applied sciences
Case study
Control de processos
Decision theory. Utility theory
Enginyeria química
Exact sciences and technology
Food industry
Food industry and trade
Ganzzahlige Optimierung
Griechenland
Indústria i comerç
Integer programming
Inventory control, production control. Distribution
Logistics
Logistikdienstleister
Mathematical programming
Mathematische Optimierung
Milchverarbeitung
Operational research and scientific management
Operational research. Management science
Production
Production control
Production Logistics Mathematical programming Integer programming Case study Food industry
Tourenplanung
Àrees temàtiques de la UPC
Integer programming
Case study
Food industry
Production
Logistics
Mathematical programming
Modular design
Decision making
Transportation mode
Mixed integer programming
Continuous time
Economy of transports
Production management
Transportation problem
Production planning
Dairy industry
Discrete time
Production cost
Inventory control
Greek
Sequencing
Material balance
ISSN:0305-0483, 1873-5274
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Popis
Shrnutí:The production and logistics operations planning in real-life single- or multi-site semicontinuous food industries is addressed in this work. A discrete/continuous-time mixed integer programming model, based on the definition of families of products, is developed for the problem in question. A remarkable feature of the proposed approach is that in the production planning problem timing and sequencing decisions are taken for product families rather than for products. However, material balances are realized for every specific product, thus permitting the detailed optimization of production, inventory, and transportation costs. Changeovers are also explicitly taken into account and optimized. Moreover, alternative transportation modes are considered for the delivery of final products from production sites to distribution centers. The efficiency and the applicability of the proposed approach is demonstrated by solving to optimality two industrial-size case studies, for an emerging real-life Greek dairy industry. ► We present an integrated modeling framework for the production and logistics operations planning in real-life single- or multi-site semicontinuous food industries. ► A discrete/continuous-time mixed integer programming model, based on the definition of families of products, is developed. ► Changeovers are explicitly taken into account and optimized. ► Alternative transportation modes are considered for the delivery of final products from production sites to distribution centers. ► The efficiency and the applicability of the proposed approach is demonstrated by solving to optimality two industrial-size case studies.
ISSN:0305-0483
1873-5274
DOI:10.1016/j.omega.2011.12.002