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Gupta S.,Indian Institute of Management Raipur | Goh M.,Logistics Institute Asia Pacific | De-Souza R.,Logistics Institute Asia Pacific | Meng F.,National University of Singapore | Garg M.,Logistics Institute Asia Pacific
International Journal of Information Systems and Supply Chain Management | Year: 2014

Increasing globalization of the supply chains is making them increasingly vulnerable to various supply chain risks. Effective management of these risks is essential to prevent minor as well as major risks that may occur in day-to-day operations of the firm. In this paper an attempt is made to bring out a schema for analyzing supply chain risks faced by the firm and develop a risk management action framework that would serve as a guide for practitioners to identify the level at which their firms are operating and the strategies they need to employ to combat or prevent supply chain risks. The data is collected by means of an online as well as an event survey from logistics managers of various supply chain firms. Indeed Singaporean firms need to properly document these supply chain risks. Moreover, there are gaps in specific areas where Singaporean firms can improve themselves and thus become globally effective corporations. Copyright © 2014, IGI Global.

Li W.,International School of Management | Li W.,Logistics Institute Asia Pacific | Goh M.,Logistics Institute Asia Pacific | Goh M.,National University of Singapore | And 7 more authors.
International Journal of Production Economics | Year: 2012

Container terminal (CT) operations are often bottlenecked by slow YC (yard crane) movements. Efficient YC scheduling to reduce the PM waiting time is therefore critical in increasing a CTs throughput. This paper develops an efficient continuous time MILP model for YC scheduling. The model treats realistic operational constraints such as multiple inter-crane interference, fixed YC separation distances, simultaneous container storage/retrievals, realistic YC acceleration/deceleration stages and gantry time, and require far fewer integer variables than previous work. The model significantly improves the solution quality compared to the existing discrete time models and other heuristics found in the literature. Using heuristics and a rolling-horizon algorithm, our model can solve actual container yard (CY) problems quickly and robustly in polynomial time. Also, to cope with the last minute container arrivals which can disrupt routine CT operations, two methods for handling these last minute job insertions are discussed and compared. © 2011 Elsevier B.V. All rights reserved.

Ghosh S.,Logistics Institute Asia Pacific | Piplani R.,Nanyang Technological University | Viswanathan S.,Nanyang Technological University
International Journal of Services and Operations Management | Year: 2014

In this paper, we consider inventory rationing policies for a single product with multiple customer classes. Demand for the product from each customer class occurs at a constant deterministic rate. The customers are segmented into different classes based on the penalty cost of backordering the demand. It is assumed that the demand is backordered for a customer class after its run-out time and satisfied only when the next replenishment arrives. The problem of determining the inventory rationing policy involves finding the cycle time for replenishment of the product and the run-out time for each customer class. An algorithm is developed to determine the optimal inventory rationing policy.© 2014 Inderscience Enterprises Ltd.

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