Multi-period multi-echelon inventory transportation problem considering stakeholders behavioural tendencies

Arijit De; D. G. Mogale; Mengdi Zhang; Saurabh Pratap; Sri Krishna Kumar; George Q. Huang

doi:10.1016/j.ijpe.2019.107566

Multi-period multi-echelon inventory transportation problem considering stakeholders behavioural tendencies

Arijit De, D. G. Mogale, Mengdi Zhang^*, Saurabh Pratap, Sri Krishna Kumar, George Q. Huang

^*Corresponding author for this work

Management Sciences

Research output: Contribution to journal › Article › peer-review

Abstract

An inventory transportation problem of manufacturing organization focusing on several stakeholders such as manufacturers, distributors, wholesalers, retailers and customers is addressed in this paper. The research study considered multi-echelon, multi-product, multi-modal and multi-period scenario. The mathematical model in the form of mixed integer non-linear programming is formulated to minimize the total cost associated with transportation, inventory holding and operational activities. A mathematical formulation based heuristic approach, which comprises of four algorithms, is proposed for solving purpose. The proposed heuristic approach considers the behavioural tendencies of stakeholders pertaining to the selection of shipment routes, transportation mode choice decisions and amount of products to be shipped. Fifteen practical problem instances are solved by using the developed heuristic approach while considering the behavioural aspects of stakeholders. Insights obtained from results will be beneficial for manufacturing organizations in making informed decisions related to transportation planning considering stakeholder's behavioural tendencies.

Original language	English
Article number	107566
Journal	International Journal of Production Economics
Volume	225
DOIs	https://doi.org/10.1016/j.ijpe.2019.107566
Publication status	E-pub ahead of print - 28 Nov 2019

Keywords

Heuristic
Inventory
Manufacturing
Mixed integer non-linear programming
Supply chain network
Transportation

Access to Document

10.1016/j.ijpe.2019.107566

Cite this

@article{f896e7b809ff48069e6ffa195e63d37b,

title = "Multi-period multi-echelon inventory transportation problem considering stakeholders behavioural tendencies",

abstract = "An inventory transportation problem of manufacturing organization focusing on several stakeholders such as manufacturers, distributors, wholesalers, retailers and customers is addressed in this paper. The research study considered multi-echelon, multi-product, multi-modal and multi-period scenario. The mathematical model in the form of mixed integer non-linear programming is formulated to minimize the total cost associated with transportation, inventory holding and operational activities. A mathematical formulation based heuristic approach, which comprises of four algorithms, is proposed for solving purpose. The proposed heuristic approach considers the behavioural tendencies of stakeholders pertaining to the selection of shipment routes, transportation mode choice decisions and amount of products to be shipped. Fifteen practical problem instances are solved by using the developed heuristic approach while considering the behavioural aspects of stakeholders. Insights obtained from results will be beneficial for manufacturing organizations in making informed decisions related to transportation planning considering stakeholder's behavioural tendencies.",

keywords = "Heuristic, Inventory, Manufacturing, Mixed integer non-linear programming, Supply chain network, Transportation",

author = "Arijit De and Mogale, {D. G.} and Mengdi Zhang and Saurabh Pratap and Kumar, {Sri Krishna} and Huang, {George Q.}",

note = "Funding Information: This research was supported in part by Natural Science Foundation of the Jiangsu Higher Education Institutions of China (Grant No. 19KJB580016), Nanjing University of Post and Telecommunications research start-up fund (NY218126), NSFC Incubation fund (NY219112) and Natural Science Foundation of Jiangsu Province (Grant No. BK20180749). Funding Information: This research was supported in part by Natural Science Foundation of the Jiangsu Higher Education Institutions of China (Grant No. 19KJB580016 ), Nanjing University of Post and Telecommunications research start-up fund ( NY218126 ), NSFC Incubation fund ( NY219112 ) and Natural Science Foundation of Jiangsu Province (Grant No. BK20180749 ). Appendix Publisher Copyright: {\textcopyright} 2019",

year = "2019",

month = nov,

day = "28",

doi = "10.1016/j.ijpe.2019.107566",

language = "English",

volume = "225",

journal = "International Journal of Production Economics",

issn = "0925-5273",

publisher = "Elsevier BV",

}

TY - JOUR

T1 - Multi-period multi-echelon inventory transportation problem considering stakeholders behavioural tendencies

AU - De, Arijit

AU - Mogale, D. G.

AU - Zhang, Mengdi

AU - Pratap, Saurabh

AU - Kumar, Sri Krishna

AU - Huang, George Q.

N1 - Funding Information: This research was supported in part by Natural Science Foundation of the Jiangsu Higher Education Institutions of China (Grant No. 19KJB580016), Nanjing University of Post and Telecommunications research start-up fund (NY218126), NSFC Incubation fund (NY219112) and Natural Science Foundation of Jiangsu Province (Grant No. BK20180749). Funding Information: This research was supported in part by Natural Science Foundation of the Jiangsu Higher Education Institutions of China (Grant No. 19KJB580016 ), Nanjing University of Post and Telecommunications research start-up fund ( NY218126 ), NSFC Incubation fund ( NY219112 ) and Natural Science Foundation of Jiangsu Province (Grant No. BK20180749 ). Appendix Publisher Copyright: © 2019

PY - 2019/11/28

Y1 - 2019/11/28

N2 - An inventory transportation problem of manufacturing organization focusing on several stakeholders such as manufacturers, distributors, wholesalers, retailers and customers is addressed in this paper. The research study considered multi-echelon, multi-product, multi-modal and multi-period scenario. The mathematical model in the form of mixed integer non-linear programming is formulated to minimize the total cost associated with transportation, inventory holding and operational activities. A mathematical formulation based heuristic approach, which comprises of four algorithms, is proposed for solving purpose. The proposed heuristic approach considers the behavioural tendencies of stakeholders pertaining to the selection of shipment routes, transportation mode choice decisions and amount of products to be shipped. Fifteen practical problem instances are solved by using the developed heuristic approach while considering the behavioural aspects of stakeholders. Insights obtained from results will be beneficial for manufacturing organizations in making informed decisions related to transportation planning considering stakeholder's behavioural tendencies.

AB - An inventory transportation problem of manufacturing organization focusing on several stakeholders such as manufacturers, distributors, wholesalers, retailers and customers is addressed in this paper. The research study considered multi-echelon, multi-product, multi-modal and multi-period scenario. The mathematical model in the form of mixed integer non-linear programming is formulated to minimize the total cost associated with transportation, inventory holding and operational activities. A mathematical formulation based heuristic approach, which comprises of four algorithms, is proposed for solving purpose. The proposed heuristic approach considers the behavioural tendencies of stakeholders pertaining to the selection of shipment routes, transportation mode choice decisions and amount of products to be shipped. Fifteen practical problem instances are solved by using the developed heuristic approach while considering the behavioural aspects of stakeholders. Insights obtained from results will be beneficial for manufacturing organizations in making informed decisions related to transportation planning considering stakeholder's behavioural tendencies.

KW - Heuristic

KW - Inventory

KW - Manufacturing

KW - Mixed integer non-linear programming

KW - Supply chain network

KW - Transportation

UR - http://www.scopus.com/inward/record.url?scp=85077718243&partnerID=8YFLogxK

U2 - 10.1016/j.ijpe.2019.107566

DO - 10.1016/j.ijpe.2019.107566

M3 - Article

AN - SCOPUS:85077718243

SN - 0925-5273

VL - 225

JO - International Journal of Production Economics

JF - International Journal of Production Economics

M1 - 107566

ER -

Multi-period multi-echelon inventory transportation problem considering stakeholders behavioural tendencies

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Cite this