TY - JOUR
T1 - Pre-auction lane selection in an integrated production–distribution planning problem
AU - Triki, Chefi
AU - Piya, Sujan
AU - Fu, Liang Liang
N1 - Funding Information:
This study was funded by The Research Council of Oman [grant number ORG/SQU/ICT/14/028]. This support is gratefully acknowledged. Open Access funding was provided by the Qatar National Library.
Publisher Copyright:
© 2020 Informa UK Limited, trading as Taylor & Francis Group.
PY - 2021
Y1 - 2021
N2 - Integrating production scheduling with transportation decisions is an important problem that is receiving increasing interest from the logistics industry. As an order is received, the manufacturer starts planning its production while considering the appropriate decisions for delivery. The company can adopt an auction paradigm to involve external occasional drivers, besides using its own fleet for the delivery. Ahead of an auctioning process, the company should decide which deliveries should be served by its fleet and which can be assigned to the occasional drivers. This is known as the shipper lane selection problem (SLSP). This article integrates the SLSP with production scheduling and proposes an integer formulation and heuristic methods to solve the resulting integrated problem (I-SLSPS). Experiments show the validity of the proposed methods and their capability in achieving minimum cost for the integrated problem.
AB - Integrating production scheduling with transportation decisions is an important problem that is receiving increasing interest from the logistics industry. As an order is received, the manufacturer starts planning its production while considering the appropriate decisions for delivery. The company can adopt an auction paradigm to involve external occasional drivers, besides using its own fleet for the delivery. Ahead of an auctioning process, the company should decide which deliveries should be served by its fleet and which can be assigned to the occasional drivers. This is known as the shipper lane selection problem (SLSP). This article integrates the SLSP with production scheduling and proposes an integer formulation and heuristic methods to solve the resulting integrated problem (I-SLSPS). Experiments show the validity of the proposed methods and their capability in achieving minimum cost for the integrated problem.
KW - integrated production–distribution planning
KW - occasional drivers
KW - Shipper lane selection problem
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U2 - 10.1080/0305215X.2020.1833875
DO - 10.1080/0305215X.2020.1833875
M3 - Article
AN - SCOPUS:85096110306
SN - 0305-215X
VL - 53
SP - 1855
EP - 1870
JO - Engineering Optimization
JF - Engineering Optimization
IS - 11
ER -