2016 INFORMS Annual Meeting Program

MB72

INFORMS Nashville – 2016

MB70 Acoustic- Omni Transportation, Maritime II Contributed Session

2 - A Bi-level Programming Approach For Optimizing Resilience Of Port-hinterland Container Transportation Networks Nan Liu, Professor, Zhejiang University, School of Management, Zijingang Campus, Yuhangtang Road, Hangzhou, 310058, China, nliu@zju.edu.cn, Song Gao In this paper, we employ a bi-level programming model to optimize the resilience of the port-hinterland container transportation network when suffered from natural or human-caused disasters. At the upper level problem, the transportation network planner, i.e. the government, make recovery decision to optimize the resilience of the transportation network when facing the disasters within given budgets constraint such as money and time. At the lower level problem, the transportation network users, i.e. third party logistics companies, make decisions about the transport modes, routes and freight volume to maximize its own profit according to the recovered transportation network. 3 - Effects Of Time Incentives On Container Port Operations Yuen Ying Lam, Research Assistant, Hang Seng Management College, Hang Shin Link, Siu Lek Yuen, Shatin, N.T., Hong Kong, Hong Kong, avislam@hsmc.edu.hk, Karolina J. Glowacka, Yin Cheung, Eugene Wong This paper presents a simulation model of Hong Kong container port ship-to- shore operations with inclusion of time incentives and penalties for early/late work completion. The presented method allows for detailed container-level modelling. Assuming continuous berth assignment and variable-in-time crane allocation, we measure the impact of the incentives and penalties on the ship lines and port operators. We present the results for various levels of incentives and penalties, as well as contract incentive adoption rate. MB72 Bass- Omni Supply Chain Mgt VI Contributed Session Chair: Jie Tan, Huazhong University of Science and Technology, Wuhan, China, jietan@hust.edu.cn 1 - Supply Chain Configuration And Financial Performance: An Empirical Investigation Marouen Ben Jebara, University of South Carolina Aiken, 471 University Parkway, School of Business, Aiken, SC, 29801, United States, marouenB@usca.edu, Sachin Modi Disintermediation is gaining attention in pharmaceutical industry: drug companies have the opportunity to sell their products directly to the end consumers as well as to intermediaries. We conceptualize the influence of supply chain disintermediation and product portfolio on financial performance. Using secondary data collected from pharmaceutical industry, we empirically investigate the proposed hypotheses and present results. 2 - Configurations Of Distribution Strategies: An Integrated Analysis Of Quantitative And Qualitative Data In Retailing Industry Dongtao Xu, Huazhong University of Science and Technology, 1037 Luoyu Road, Wuhan, 430074, China, xudongtao@hust.edu.cn This paper develops a theoretical framework of distribution strategy and provides empirical evidence onthe configurations of distribution strategies and their strategic fit. To achieve this goal, we identified the configurations of distribution strategies and operational competencies with conducting an integrated analysis of quantitative and qualitative data in retailing industry. 4 - Applications Of Open Innovation To Improve Supply Chain Tianqin Shi, San Jose State University, One Washington Square, Business Tower 465, San Jose, CA, 95192-0164, United States, tianqin.shi@sjsu.edu, Taeho Park The concept of open innovation has changed the paradigm of R&D practices by advocating firms’ efforts to use external ideas beyond their internal R&D resources. Previous studies have mainly focused on the application of open innovation on the development of new technology and products. However, the concepts and practices of open innovation are not limited to R&D management. Thus, this research provides insights into the current and potential applications of open innovation in a supply chain system. It also identifies the current practices of open innovation in supply chain management, and presents further potentials of applications of open innovation in the supply chain system.

Chair: Kazuhiko Ishiguro, Kobe University, 5-1-1, Fukae-minami, Higashi-nada, Kobe, 658-0022, Japan, ishiguro@maritime.kobe-u.ac.jp 1 - Container Vessel Capacity Allocation In Liner Shipping Michele Acciaro, Kuehne Logistics University, Grosser Grassbrook 17, Hamburg, 20457, Germany, michele.acciaro@the-klu.org, Jan Frahnert The paper deals with the problem of vessel capacity allocation, taking into consideration priority, cargo type and time of the booking. The approach used is based on a a single leg slot allocation model based on the capacity allocation problem solved by Littlewood s Rule and the enhanced version of the EMSRa- heuristic. Protection classes for cargo types are calculated taking into account cancellations and no-shows and allowing for overbooking. The paper shows that the allocation criteria used by major container carriers are sub-optimal. An application on an existing liner shipping service illustrates the practical and economic benefits of the proposed approach in contrast to current practices. 2 - Optimization System At ENAP For Distributing Refined Petroleum Products By Tanker Martin Quinteros, Head of Operations Research, Empresa Nacional del Petroleo, San Jose de la Sierra 50 depto 1202, Lo Barnechea, Santiago, 7710088, Chile, martinq46@gmail.com Andres P Weintraub, Monique Guignard-Spielberg, Marc Llambias ENAP is a petroleum state-owned company in Chile and plays a key role on the national energy matrix. A critical function on its complex supply chain is the maritime distribution to clients. We present a practical approach for determining an optimal schedule for the fleet of tankers delivering petroleum products. This process takes care of satisfying the demand for multiple end-products by multiple clients with different storage capacities and locations. The optimization model is a large scale MIP problem that was unsolvable on CPLEX but through a generation scheme in routes we were able to solve it to optimality. Our approach is currently saving 10 to 12 percent of the total operational cost 3 - Determinant Of Shippers’ Port Choice In Rural Areas In Japan Kazuhiko Ishiguro, Kobe University, 5-1-1, Fukae-minami, Higashi-nada, Kobe, 658-0022, Japan, ishiguro@maritime.kobe-u.ac.jp This study discusses factors of shipper’s port choice in rural areas in Japan by using a logit model considering “average waiting time at port” and four type of “seaborne transportation time.” Average waiting time at port is derived by the calling schedule at each port. Results show that, a shippers care the average transit time in export and the longest transit time in import. It turned out that shippers consider transshipment time in case of export and it doesn’t consider transshipment time in case of import. Shippers considers a sum of average waiting time at port and seaborne transportation time as a total transit time.

MB71 Electric- Omni Supply Chain, Shipping II Contributed Session

Chair: Yuen Ying Lam, Research Assistant, Hang Seng Management College, Hang Shin Link, Siu Lek Yuen, Shatin, N.T., Hong Kong, avislam@hsmc.edu.hk 1 - Benders Decomposition For Inventory Routing Problem With Perishable Product In Cold Supply Chain Faisal M Alkaabneh, PhD Student, Cornell University, Ithaca, NY, 14850, United States, fma34@cornell.edu, Huaizhu Gao We consider Inventory Routing Problem of perishable products. The developed mathematical model takes into account cost of CO2 emissions during the distribution process. The problem is modeled as a nonlinear mixed integer mathematical model that is difficult to solve directly. To this end, we propose a set of linearization schemes to simplify nonlinearity terms and developed Benders decomposition to solve the model. Furthermore, we provide extensive numerical analysis for Vendor Managed Inventory system taking into consideration different classes of perishable products.

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