P
Peeyush Mehta
Researcher at Indian Institute of Management Calcutta
Publications - 17
Citations - 229
Peeyush Mehta is an academic researcher from Indian Institute of Management Calcutta. The author has contributed to research in topics: Supply chain & Scheduling (production processes). The author has an hindex of 8, co-authored 15 publications receiving 192 citations. Previous affiliations of Peeyush Mehta include Indian Institute of Technology Kanpur.
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Permutation flow shop scheduling with earliness and tardiness penalties
TL;DR: In this paper, the authors considered the permutation flow shop scheduling problem with earliness and tardiness penalties (E/T) and common due date for jobs, and proposed a heuristic based approach for solving the problem over the entire range of due dates.
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Evaluating outsourcing partners' capability: a case study from the pharmaceutical supply chain
TL;DR: In this article, the authors investigate how to evaluate outsources and manage outsourcing relationships in the pharmaceutical industry based on the theory of dynamic capability (DC), using an exploratory multiple case study approach.
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Individually rational buyback contracts with inventory level dependent demand
TL;DR: In this article, the authors consider a buyback contract where any leftover inventory at the retailer can be returned to the supplier at a pre-specified terms of the buyback contracts.
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Coordination of planning and scheduling decisions in global supply chains with dual supply modes
TL;DR: This work addresses the problem of coordinating aggregate planning decisions and short-term scheduling decisions in supply chains with dual supply modes with long lead time, less expensive sea shipments that are based on demand forecast, and responsive but costly air shipments based on revised forecast closer to the demand period.
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Managing product variety with advance selling and capacity restrictions
TL;DR: In this paper, the impact of advance selling with price discount on a firm's ability to maximize the expected profit is analyzed, and the concavity of the problem under customers willingness to buy in advance is derived.