Quantitative approaches for the integration of production and distribution planning in the supply chain: a systematic literature review

被引:63
作者
Kumar, Ramesh [1 ]
Ganapathy, L. [1 ]
Gokhale, Ravindra [2 ]
Tiwari, Manoj Kumar [3 ,4 ]
机构
[1] Natl Inst Ind Engn NITIE, Ind Engn & Mfg Syst, Mumbai, Maharashtra, India
[2] Natl Inst Ind Engn NITIE, Operat & Supply Chain Management, Mumbai, Maharashtra, India
[3] Natl Inst Ind Engn NITIE, Mumbai, Maharashtra, India
[4] Indian Inst Technol Kharagpur, Dept Ind & Syst Engn, Kharagpur, W Bengal, India
关键词
Production Planning; Distribution Planning; Supply Chain; Machine learning; Review; LARGE-NEIGHBORHOOD SEARCH; GENETIC ALGORITHM; NETWORK DESIGN; MULTIOBJECTIVE OPTIMIZATION; HEURISTIC ALGORITHM; SCHEDULING PROBLEM; MULTITIME PERIOD; ROUTING PROBLEM; MODEL; SIMULATION;
D O I
10.1080/00207543.2020.1762019
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Production and distribution are the two primary internal elements of the supply chain. This paper presents a systematic literature review (SLR) of quantitative approaches for the integration of production and distribution planning (IPDP) in the supply chain. We provide a classification framework with eight dimensions and give a brief overview of the quantitative approaches such as modelling approaches and solution approaches for the IPDP problem in the supply chain. The SLR has been carried out using two basic search databases Scopus and Web of Science. In all, we identify relevant articles in the period from 2000 to 2019. We also highlight certain research opportunities, suggestions, and research gaps for possible future research by assessing the current knowledge on the quantitative approaches for IPDP problems in the supply chain.
引用
收藏
页码:3527 / 3553
页数:27
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