2016 INFORMS Annual Meeting Program

WD83

INFORMS Nashville – 2016

WD83 Broadway H- Omni Supply Chain Mgt, General Contributed Session Chair: Mengyang Pan, PhD Candidate, The Ohio State University, Columbus, OH, United States, pan.295@osu.edu 1 - An Eco-urban Logistics Network Design Problem Based On Truck-related Greenhouse Gas Emissions Mi Gan, Associate Professor, Southwest Jiaotong University, Jinniu District, 111 N 1st Erhuan Road, Chengdu, 610031, China, migan@swjtu.cn, chen si, Zhenggang He Through multivariate regression analysis on greenhouse gas (GHG) emission rate and truck trajectory data, the GHG emissions function of various kind of logistics facility is obtained. Then, the eco-facility location problem is modeled by integrating pure facility location model and GHG emissions function. Through experiments on real case, the effectiveness of models and algorithms were verified. The eco-facility location model for ULN is tending to obtain the location decision environmentally friendly. 2 - The Interaction Of Forward And Reverse Supply Chains Qiang Qiang, Penn State, Management Division, 30 E Swedesford Rd, Malvern, PA, 19355, United States, qzq10@psu.edu, Min Yu In this paper, we study the interaction between a forward supply chain and a reverse supply chain network. In particular, we study the impact of the change in the forward supply chain on the reverse supply chain. Managerial insights are generated from numerical results. 3 - A Strategic Analysis Of a Green Manufacturer With a Risk Averse Retailer Under a Green Supply Chain Yushan Jiang, Tianjin University, 92 Weijin Road, Tianjin, China, yshjiang@tju.edu.cn, Bo Li The green manufacturer produces green products in a green supply chain. Considering the trade-off between the R&D investment and returns of green products, the manufacturer decides the wholesale price and the green innovation level. The manufacturer and the retailer adopt the Retail Price Recommendations policy. As the follower in the Stackelberg game, the retailer decides the order quantity. The Conditional value-at-risk (CVaR) criterion is used to evaluate the retailer’s risk-averse behavior and we analyze the impacts of the risk-averse level and the innovation cost on member’s decisions in both decentralized and centralized supply chain. Channel coordination is also investigated. 4 - Third-party Remanufacturing: Authorization Or Not? Mingzhou Jin, Professor, University of Tennessee-Knoxville, 525D John D. Tickle Engineering Building, Industrial and Systems Engineering, Knoxville, TN, 37996, United States, jin@utk.edu The high profit margin of remanufacturing has attracted many third party remanufacturers (TPRs). The presence of remanufactured products, authorized or not, has complex effects on the demand of new products. When an OEM authorizes a TPR, the presence of remanufactured products will lower the consumers’ perceived value of new products but OEM can get authorization fee. Without authorization, the presence of remanufactured products will enhance the valuation for the new products. This studies investigates the impact of authorization on OEM and TPR’s decisions and further discuss conditions under which OEM will authorize remanufacturing. 5 - When Should Small Firms Collaborate Externally on R&D? A Study Of NIH SBIR/STTR Awards Research on external R&D collaboration predominantly focuses on large firms. Small businesses face different challenges when collaborating externally on R&D. This study uses longitudinal data from the National Institute for Health (NIH) on how small businesses choose their levels of external collaboration, and how this choice affects their R&D commercialization capability. WD84 Broadway J- Omni Supply Chain, Risk IV Contributed Session Chair: Florian Lucker, EPFL, EPFL-Tom, Odyssea 416, Lausanne, 1015, Switzerland, florian.luecker@epfl.ch 1 - Risk Management Using Structural Controllability For Resilient Supply Networks Amirhossein Khosrojerdi, University of Oklahoma, 1021 East Brooks Street, Norman, OK, 73071, United States, akhosrojerdi@ou.edu, Janet K. Allen, Farrokh Mistree Mengyang Pan, PhD Candidate, The Ohio State University, Columbus, OH, United States, pan.295@osu.edu, Aravind Chandrasekaran, James Hill, Manus Rungtusanatham

A resilient supply network is one that has the ability to recover quickly from disruptions and ensure customers are minimally affected. Designing the structure of supply networks to be controllable is a way toward resilience. A method is proposed to manage risk in supply networks under disruptions using design for resilience and design for structural controllability. 2 - Measuring The Supply Chain Risk In Global Sourcing Hokey Min, James R. Good Chair in Global Supply Chain Strateg, Bowling Green State University, 1001 Wooster Street, College of Business 3008C, Bowling Green, OH, 43403, United States, hmin@bgsu.edu In times of prolonged financial crisis across the globe, a growing number of MNFs have focused their attention on cost saving opportunities through offshoring in LCCs. However, an indiscreet strategy of sourcing from LCCs can do more harm than good, since invisible supply chain risks may increase hidden costs and subsequently more than offset cost saving opportunities. Considering the potential impact of these risks on global sourcing, this paper aims to identify risk factors that significantly hinder the efficiency of offshoring and then measure specific risks associated with offshoring in foreign countries. 3 - Preponement Instead Of Postponement: Two-echelon Disruption

Risk Management Under Stochastic Demand Florian Lucker, EPFL, EPFL-Tom, Odyssea 416, Lausanne, 1015, Switzerland, florian.luecker@epfl.ch Sunil Chopra, Ralf W Seifert, Ralf W Seifert

We consider the multi-echelon inventory problem in the presence of disruption risk and stochastic demand. We derive novel structural insights on optimal inventory levels for the three supply chain topologies: serial, assembly and distribution. We show that an early commitment of end-product inventories is beneficial, as opposed to a delayed differentiation of the end-product. We further provide conditions when risk diversification occurs for two-echelon distribution supply chains.

WD85 Broadway K- Omni Sustainability IV Contributed Session

Chair: Avijit Raychaudhuri, Doctoral Candidate, Nanyang Technological University, 50 Nanyang Avenue, South Spine S3-01B-73, Division of IT & Operations Management, Singapore, 639798, Singapore, avijit001@e.ntu.edu.sg 1 - The Role Of Social Planner In Closed-loop Supply Chain Lan Wang, California State University at East Bay, 25800 Carlos Bee Blvd., Management Department, VBT 345, Hayward, CA, In recent years, as remanufacturing has significantly increased all over states, recycling of the un-remanufactured products and disposal treatment become a hot potato. Our paper studies the problem of legislation practices on who should be responsible for recycling, and compares the existing mechanisms on the efficiency of environmental protection. In particular, we compare two models.Given different social objectives - prioritized consumer welfare, prioritized environmental benefit, or jointly social objective, we aim to provide roadmap to the social planner on legislation and incentives for remanufacturing and the end- of-life/use product recycling activities. 2 - Towards A Theoretical Framework Of Sustainable Operations Strategy Yeming Gong, Em Lyon Business School, Building B, Office 1018, 23 Avenue Guy De Collongue, Ecully, 69134, France, gong@em-lyon.com This paper conducts an integrated analysis of quantitative and qualitative data to study Sustainable Operations Strategy in retailing industry. (1) In quantitative study, using a sample of about 100 organizations we apply structural equation modeling to understand nonlinear relationship among cross-value integration, supply chain coordination and integration, and the performance of sustainable supply chain. (2) In qualitative study, we conducted case studies to validate quantitative results and conducted the archive qualitative analysis for about 50 organizations to provide additional management insights. 94542, United States, lan.wang@csueastbay.edu, Tharanga Kumudini Rajapakshe, Asoo J Vakharia

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