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Shalabh SinghIndian Institute of Management, Lucknow | IIML · DECISION SCIENCES
Shalabh Singh
Fellow Program in Management
Assistant Professor, OM&QT, IIM Raipur
About
7
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Introduction
Publications
Publications (7)
The year 2020 can be earmarked as the year of global supply chain disruption owing to the outbreak of the coronavirus (COVID-19). It is however not only because of the pandemic that supply chain risk assessment (SCRA) has become more critical today than it has ever been. With the number of supply chain risks having increased significantly over the...
This article makes an attempt to build on the extant literature on time–cost trade-off in a transportation problem. The idea is to agglomerate the world of multiple shipment options along with the uncertainty in demand/supply requirements to the traditional set-up. The article introduces a bi-objective transportation model with multi-choice cost an...
This research paper studies a bi-objective multi-choice scenario faced by a decision maker while shipping packets across a transportation network. A varying range of carriers with multiple time and cost options give rise to multi-choice parameters. In order to equip the decision maker for solving this multi-choice time–cost trade-off scenario, a mu...
The conventional assignment problem is unable to handle scenarios that may arise due to different working modes of machines leading to multiple cost and time entries corresponding to a job–machine pair. The present article deals with this problem and models it as a multi-choice bi-objective assignment problem, the two objectives being assignment co...
This paper introduces a bi-criteria transportation problem with multiple parameters which brings together the concept of price discrimination from the area of marketing management to the world of multi objective transportation problems. The problem deals with two objectives, the overall shipment cost and the bottleneck time of shipment. Both the ob...
This paper presents an exhaustive literature review on theories and applications in the field of multi-choice programming (MCP). The increasing competition in the business world has given rise to the situations where decision-makers are offered with multiple options/information to optimally decide on a single task. Under such circumstances a number...