Production and inter-facility transportation scheduling for a process industry

Matta, Renato de; Miller, Tan

doi:10.1016/s0377-2217(03)00358-8

Cited by 50 publications

(19 citation statements)

References 6 publications

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“…In the case that the insertion procedure is performed in a route belonging to a different depot, the consolidated demand of the involved depots changes. Thus, the manufacturing decision is updated by solving the transportation problem that minimizes (26) subject to constraints (27)- (29). That problem aims to minimize the operating costs associated with the manufacturing process without being aware of the workload balance in the plants.…”

Section: Local Search Methodmentioning

confidence: 99%

Optimizing a Biobjective Production‐Distribution Planning Problem Using a GRASP

et al. 2018

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This paper addresses a biobjective production-distribution planning problem. The problem is formulated as a mixed integer programming problem with two objectives. The objectives are to minimize the total costs and to balance the total workload of the supply chain, which consist of plants and depots, considering that it represents a company vertically integrated. In order to solve the model, we propose an adapted biobjective GRASP to obtain an approximation of the Pareto front. To evaluate the performance of the proposed algorithm, numerical experimentations are conducted over a set of instances used for similar problems. Results indicate that the proposed GRASP obtains a relatively small number of nondominated solutions for each tested instance in very short computational time. The approximated Pareto fronts are discontinuous and nonconvex. Moreover, the solutions clearly show the compromise between both objective functions.

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Section: Local Search Methodmentioning

confidence: 99%

Optimizing a Biobjective Production‐Distribution Planning Problem Using a GRASP

et al. 2018

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“…It is demonstrated that substantial cost/revenue improvement can be reached by using an integrated tactical planning model. Production and inter-facility transportation scheduling for process industries is studied by de Matta and Miller [10]. The authors develop a dynamic production and transportation decision model to simultaneously determine the cost minimizing quantities of products an intermediate plant must produce and ship to a finishing plant using different transportation modes.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Constraint set (10) dictates that if a machine changes to a different part type after the first time period, a setup is required. Constraint set (11) ensures that every machine respects machine-part type matching restrictions.…”

Section: Index Setsmentioning

confidence: 99%

“…Once the matrix of priority lists (τ) is decoded into machine-part type and crane-machine assignments, the values of all binary variables become fixed, producing a reduced integer linear program (ILP) with the original binary variables becoming input parameters in the reduced model. Constraint set (10) dictates that if a machine changes to a different part type after the first time period, a setup is required. Constraint set (11) ensures that every machine respects machine-part type matching restrictions.…”

Section: Hybrid Simulated Annealing Algorithmmentioning

confidence: 99%

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Assessing the Cost Impact of Multiple Transportation Modes to Enhance Sustainability in an Integrated, Two Stage, Automotive Supply Chain

Masoud

Mason

2017

Informatics

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Abstract:As the automotive industry has been striving to enhance its efficiency, competitiveness, and sustainability, great focus is often placed on opportunities for improving its supply chain operations. We study the effect of introducing multiple modes of transportation in an industry-motivated production and transportation problem involving short-term automotive supply chain planning. We consider multiple, heterogeneous modes of transportation that offer a cost vs. delivery time option to the manufacturer. Having multiple modes of transportation in the system promotes supply chain sustainability. We present an integer linear programming model that captures the availability of multiple transportation modes. We then provide a solution approach based on a hybrid simulated annealing algorithm that we use to analyze the problem. Experimental results demonstrate the impact of additional transportation mode lead times compared to costs in the integrated supply chain.

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“…São apresentados vários algoritmos para o modelo que servem como ferramentasúteis em situações reais. E tratada em [16] a decisão de dimensionamento de lotes integradaàs decisões de transporte de itens entre as plantas de uma mesma indústria, nas quais uma planta produz produtos considerados intermediários e outra processa estes produtos obtendo produtos acabados. O principal objetivo dos autoresé compreender as relações gerais existentes nas decisões de mudança de capacidade, alteração dos custos, escolhas de transporte, dentre outros.…”

Section: Introductionunclassified

Formulações Fortes para o Problema de Dimensionamento de Lotes com Várias Plantas

Melega

Fiorotto

Araújo

2013

Tend. Mat. Apl. Comput.

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RESUMO.Este trabalho aborda o problema de dimensionamento de lotes em um ambiente com várias plantas. Cada item pode ser produzido em qualquer planta eé possível atender a demanda de uma determinada planta com produção proveniente de uma (ou várias outras) planta(s), para tanto, incorre-se um custo de transferência. O objetivo deste trabalho consiste em desenvolver formulações fortes para o problema. São investigadas reformulações que baseiam-se no problema do caminho mínimo e localização de facilidades. Por fim, alguns resultados computacionais são apresentados comparando todas as formulações propostas.Palavras-chave: dimensionamento de lotes, várias plantas, formulações fortes. INTRODUÇÃOEste artigo trata de problemas de dimensionamento de lotes, o qualé composto de várias plantas integradas com capacidade limitada. Os itens podem ser produzidos em qualquer uma das plantas e para iniciar a produção de um item incorre-se um tempo de preparação na planta utilizada. Cada planta tem uma demanda própria e existe um custo de transferência entre as plantas caso seja necessário transferir para atender a demanda de outra planta. O principal objetivo deste problemaé estabelecer a quantidade a ser produzida de cada item em cada uma das plantas em um determinado período. Na literatura não existem muitos trabalhos que consideram o ambiente de produção composto com várias plantas. Um dos primeiros estudos que consideram este ambiente de produçãoé apresentado em [4], em que o objetivoé coordenar os planos de produção e estoque em todas as plantas de modo que o desempenho global e a posição competitiva da empresa seja melhorada. Este problema procura coordenar diferentes funções como o planejamento da produção, estoque, distribuição, dentre outros. São levados em consideração os efeitos da incerteza da demanda

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Production and inter-facility transportation scheduling for a process industry

Cited by 50 publications

References 6 publications

Optimizing a Biobjective Production‐Distribution Planning Problem Using a GRASP

Optimizing a Biobjective Production‐Distribution Planning Problem Using a GRASP

Assessing the Cost Impact of Multiple Transportation Modes to Enhance Sustainability in an Integrated, Two Stage, Automotive Supply Chain

Formulações Fortes para o Problema de Dimensionamento de Lotes com Várias Plantas

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