2016 INFORMS Annual Meeting Program

MC70

INFORMS Nashville – 2016

MC70 Acoustic- Omni Transportation, Maritime III Contributed Session

2 - Centralized And Decentralized Warehouse Logistics With Stochastic Demand Collaboration Shiman Ding, University of California Berkeley, Berkeley, CA, 94706, United States, shiman@berkeley.edu, Philip Kaminsky An emerging paradigm for horizontal logistics collaboration in the grocery industry involves the use of large third-party warehouses used by suppliers as outbound warehouses, and by retailers as distribution centers. We model a setting where safety stock is maintained at both the warehouse and retailers, and build on our previous work for a deterministic version of this problem to develop a heuristic for this model with a worst-case bound of 1.19. We also develop effective heuristics for decentralized versions of this model, and finally, we characterize the “cost of anarchy” in this system - the loss due to decentralized operation. 3 - A Change Of Gear: Managing Modal Split Transport (mst) Chuanwen Dong, Kuehne Logistics University, Grosser Grasbrook 17, Hamburg, 20457, Germany, chuanwen.dong@the-klu.org, Sandra Transchel, Stefan Minner The truck driver shortage rises freight cost and erodes firms’ SC margins. We study a MST policy to shift volume to trains. We model the two modes differently based on their nature: a train has a fixed schedule over a long period and requires stable deliveries. The economics of scale in rail freight cost and inventory mismatch cost is also incorporated. The model is solved via Stochastic DP optimally for: the fixed load and delivery frequency of the train, and the delivery policy of the truck. Real data application shows considerably modal shift into trains, and suggests the firm the favorable products for MST. 4 - Multiproduct Batch Production And Truck Shipment Scheduling Under Different Shipping Policies Umit Saglam, Assistant Professor, East Tennessee State University, East Tennessee State University Department of Management and Marketing, PO Box 70625, Johnson City, TN, 37614, United States, saglam@etsu.edu In this paper, we formulate mathematical models that attempt to integrate the production lot scheduling problem with outbound shipment decisions. The optimization objective is to minimize the total relevant costs of a manufacturer, which distributes a set of products to multiple retailers. In making the production/distribution decisions, the common cycle approach is employed to solve the ELSP, for simplicity. The resulting mixed-integer, non-linear programming models (MINLPs) are solved by the BONMIN solver. Finally, a set of numerical examples illustrate and evaluate the relative efficacies of these policies. Chair: Turgut Aykin, Managing Member, Aykin Associates, 136 Buckmanville Rd., New Hope, PA, 18938, United States, taykin@aykinassociates.com 1 - Robust Supply Chain System Under Yield Uncertainty Samir A Alsobhi, Assistant Professor, Yanbu University College, Yanbu Alsinaiyah, 51000, Saudi Arabia, Alsobhis@rcyci.edu.sa, Krishna Krishnan Products are often damaged in transit.These damages are stochastic in nature.To minimize the impact of damage,the selection of routes should consider not only the expected damage but also the variability of damage.In this research,the first model is of the supply chain network in order to minimize total cost,which consists of product cost and transportation cost while considering multiple routes and products.In the second model,the concept of robust design has been applied to minimize damage. 2 - A Location Allocation Model For Facility Planning To Minimize The Operational Cost Damitha Bandara, Assistant Professor, Albany State University, 504 College Dr, Albany, GA, 31705, United States, damitha.bandara@asurams.edu Locating and allocating distribution centers optimally is a crucial and systematic task for decision-makers. Optimally located distribution centers can significantly improve the logistics system’s efficiency and reduce its operational costs. In this research, we develop a mathematical model to determine the optimal locations and allocations for distribution centers that minimizes the operational cost. The model is used to find the optimal location and allocation of distributions centers for a leading company in the USA. Computational results show that the company can reduce their operational cost significantly by implementing new optimal distribution locations. MC72 Bass- Omni Supply Chain Mgt VII Contributed Session

Chair: Liliana Delgado Hidalgo, Doctoral Candidate, University of Arkansas and Universidad del Valle, 4207 Bell Engineering Center, Fayetteville, AR, 72701, United States, ld002@uark.edu 1 - A Constraint Programming Approach For A Parallel Machine Scheduling Problem With Time Intervals And Sequence Dependent Setup Times Ridvan Gedik, University of New Haven, 300 Boston Post Rd, Buckman Hall 223 F, West Haven, CT, 06516, United States, rgedik@newhaven.edu, Chase Rainwater In this study, we introduce a scheduling problem that aims to minimize the makespan of jobs on unrelated machines subject to time availability intervals and sequence dependent setup times in a fixed planning horizon. Computational tests on a real-life case study prepared in collaboration with the U.S. Army Corps of Engineers (USACE) show that the constraint programming model outperforms the mixed integer programming model in terms of solution time and quality. In addition, sensitivity analysis conducted on time interval restrictions provide decision makers with quantitative insights into how much savings might be obtained if these were relaxed. 2 - A Rolling Horizon Approach For Integrated Yard Crane Scheduling And Container Handling In A Stochastic Environment Filip Covic, PhD Student, Institute for Operations Research, University of Hamburg, Von-Melle-Park 5, Hamburg, 20146, Germany, filip.covic@uni-hamburg.de, Mehdi Karimi-Nasab A container terminal with multiple blocks, each operated by a yard crane is considered. A mixed-integer model is developed for integrating following operational sub-problems: crane scheduling, container storage allocation, relocation and re-marshaling. The objective function is to minimize the total weighted number of shuffle and re-marshaling moves. A rolling horizon framework is used to deal with uncertainty of container arrival and retrieval times. Within this framework, these data are periodically updated according to available berthing and truck arrival times. In each period the time capacity of the crane is limited. A solution approach to exploit the decompsoable sturcture is applied. 3 - Simulation Approach For A Container Terminal, A Case Study Nabil Nehme, Assistant Professor, Lebanese American University, Ramlet El- Baida, Thomas Edison Street, Beirut, Lebanon, nehme_nabil@hotmail.com, Faten Abou Shakra, Clovis Francis This research investigates the tactical operations inside a container terminal. The case of Beirut Container Terminal (BCT) is considered. A simulation model is developed to reflect the current state of BCT and existing berthing problems. Both qualitative and quantitative data are collected. Several scenarios are tested to minimize the queue for berthing vessels. A strategic work policy is suggested to leverage competition taking into consideration financial and operational constraints. 4 - Barge Assignment And Scheduling During Inland Waterway Disruption Response Liliana Delgado Hidalgo, Doctoral Candidate, University of Arkansas and Universidad del Valle, 4207 Bell Engineering Center, Fayetteville, AR, 72701, United States, ld002@uark.edu, Heather Nachtmann We study the problem of assigning and scheduling barges to terminals during inland waterway disruption response. The problem is formulated as a heterogeneous vehicle routing problem with time windows that minimizes total value loss. We present an improvement to the initial formulation by adding valid inequalities. Several disruption instances are solved, comparing our approach with prior work in this area and resulting in improved results. MC71 Electric- Omni Supply Chain, Shipping III Contributed Session Chair: Umit Saglam, Assistant Professor, East Tennessee State University, East Tennessee State University, PO Box 70625, Johnson City, TN, 37614, United States, saglam@etsu.edu 1 - Application Of Service Industry In Port Management Maryam Hamidi, University of Arizona, 3121 E Bellevue Street, Unit 2, Tucson, AZ, 85716, United States, mhamidi@email.arizona.edu In this presentation, we will study the port management and supply chain in maritime.

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