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Supply chain design and multilevel planning - An industrial case

Sousa, R; Shah, N; Papageorgiou, LG; (2008) Supply chain design and multilevel planning - An industrial case. COMPUT CHEM ENG , 32 (11) 2643 - 2663. 10.1016/j.compchemeng.2007.09.005.

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Abstract

In this paper we address a case study. inspired by a real agrochemicals supply chain, with two main objectives structured in two stages. In the first stage we redesign the global supply chain network and optimise the production and distribution plan considering a time horizon of 1 year, providing a decision support tool for long term investments and strategies. The output decisions from the first stage, mainly the supply chain configuration and allocation decisions. are the input parameters for the second stage where a short term operational model is used to test the accuracy of the derived design and plan. The outputs of this stage are detailed production and distribution plans and ail assessment of the customer service level.At the operational level, failure to meet oil time the demand fulfilment targets established at the planning stage is usually caused by allocation of too many products/customers to the same resource in the first stage, especially to those surrounding the system bottlenecks. This introduces idle periods in the planning of the bottleneck resources, preventing the whole system from operating at its maximum capacity. An analytical methodology was developed to use the information gathered in the second step to improve the supply chain design and plan by enforcing a more distributed allocation of products/customers to the available resources in each time period. (c) 2007 Elsevier Ltd. All rights reserved.

Type: Article
Title: Supply chain design and multilevel planning - An industrial case
DOI: 10.1016/j.compchemeng.2007.09.005
Keywords: supply chain planning, multi-level integration, enterprise optimisation, BATCH SEMICONTINUOUS PLANTS, JOB SET CHARACTERISTICS, AGGREGATE RESOURCE, PROCESS OPERATIONS, GENERAL ALGORITHM, MILP FORMULATION, OPTIMIZATION, CHALLENGES, MAKESPAN
UCL classification: UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Chemical Engineering
URI: http://discovery.ucl.ac.uk/id/eprint/78684
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