C
Chandra Lalwani
Researcher at University of Hull
Publications - 57
Citations - 2295
Chandra Lalwani is an academic researcher from University of Hull. The author has contributed to research in topics: Supply chain & Supply chain management. The author has an hindex of 22, co-authored 57 publications receiving 2184 citations. Previous affiliations of Chandra Lalwani include Cardiff University.
Papers
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Combining quantitative and qualitative methodologies in logistics research
TL;DR: In this article, the authors describe the dominant research paradigms and perspectives and their generally concomitant research methodologies and describe some research (decision-making concerning choice of ports/ferries) where methodological triangulation, using quantitative and qualitative methodologies, yielded greater insights than would have been the case if a single research methodology had been employed.
Book
Global Logistics and Supply Chain Management
TL;DR: In this paper, the authors present a simulation of an auto parts supply chain in China and compare the performance of two tier-one suppliers. But the simulation is based on a transportation model.
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Port‐centric logistics
TL;DR: In this article, the authors examine traditional, current and emerging roles played by ports in the context of logistics and supply chain management practice and strategy, and elaborate the emerging concept of portcentric logistics.
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The role of sea ports in end-to-end maritime transport chain emissions
TL;DR: In this paper, the authors investigate the role of sea ports in helping to mitigate the GHG emissions associated with the end-to-end maritime transport chain and suggest that ports might have more impact through focusing their efforts on reducing shipping emissions.
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Controllable, observable and stable state space representations of a generalized Order-Up-To policy
TL;DR: In this article, a framework for developing state space representations of production and inventory control policies from their transfer functions is presented, where the particular replenishment rules that are considered are members of the inventory and order based production control system family that have been shown to be a generalization of the periodic review Order-Up-To policy.