Informs Annual Meeting Phoenix 2018

INFORMS Phoenix – 2018

TC79

3 - Flow-capturing Location Problem with Capture Level Based on Detour Distances Ken-ichi Tanaka, Keio University, Takehiro Furuta We consider a flow-capturing location problem where capture level of each flow is dependent on the detour distance from a shortest path between origin- destination nodes. Two types of detour distances are considered. The first model assumes that a traveler deviates from the original path at the node nearest to a facility and then returns to the original path. The second model supposes that a traveler chooses a minimum-distance path between origin-destination nodes to visit a facility. We apply the two models to instances created from road networks and analyze optimal solutions. 4 - Collaborative Geodesign for Alternative Fuel Station Location using Open-source Collablocation Software Michael J. Kuby, Arizona State University, School of Geographical Sci & Urban Planning, Tempe, AZ, 85287-5302, United States, Fangwu Wei, Keiron Bailey, Daoqin Tong, John W. Fowler, Qing Zhong, Oscar Lopez We present an open-source collaborative GIS planning tool for facility location called Collablocation. Built with R, Shiny, MongoDB, and Open Street Maps, the first application is for natural-gas fueling stations for trucking across the Southwest. Results are presented from a pilot workshop with government and industry experts from five states. n TC79 Hyatt, Curtis A Supply Chain Management II Contributed Session Chair: Xun Xu, California State University-Stanislaus, One University Circle, Turlock, CA, 95382, United States 1 - How Offline In-store Service Affects Online Drop-shipping Strategies in a Dual Channel System Wei Lu, University of Science and Technology of China, Hefei, China, Jie Wu, Xiang Ji, Xiaohang Yue We use a game-theoretical model to tackle the issue how the offline in-store service level affects online drop-shipping strategies in a dual channel environment. Our results show that when the retailer adopts a sufficiently aggressive in-store service strategy, the manufacturer (or the etailer) prefers drop- shipping rather than batch ordering even if it must sign a severe revenue-sharing contract. In addition, we show that when considering the retailer’s in-store service strategies, the manufacturer’s and etailer’s preferences for drop-shipping are independent of the status of channel dominance. 2 - The Role of Product Modularity on the Resilience of Multi-echelon Supply Networks Yaneth Correa, Colorado State University-Pueblo, Pueblo, CO, United States, Roschele Henry This work presents a simulation-based experimentation where instances of product modularity (represented by the BoM), define the structure of the supply network. The network is subject to random disruptions: node based and region based and a combination of both. The disruptions are represented by independent rare event statistical distributions. Network performance is evaluated using global (structural) and local (node) metrics. 3 - The Effect of Carbon Tariff on Global Carbon Emission Control a Global Supply Chain Model Yuan Fang, School of Management, University of Science and Technology of China, Hefei, China, Yugang Yu, Ye Shi Motivated by the strategic production problem in a global manufacturing network, we study the impact of carbon tariff on the choice of production policies. Our paper conducts an analytical model to explore the operation decision by global supply chain managers under carbon tariff regulation. Exporting to domestic sales and invest green technology will be two candidates responses for suppliers without carbon reduction policies. Numerical examples in our paper further test our insights, and the outcome is consistent with our model analysis. We derive the optimal supply chain decisions for each case and find that carbon tariff policy is not always benefit for controlling global carbon emission. 4 - Customer Concentration and Supplier’s Corporate Social Performance Jia Gao, PhD Candidate, Shanghai Jiaotong University, 1954, Huashan Road, Shanghai, 200030, China Although there are extensive studies about Corporate Social Performance (CSP), our understanding of CSP in supply chain context is limited. In this study, we first identify the correlation between customer concentration and supplier’s CSP. Then we investigate several key factors to help to explain this correlation.

5 - Examining Factoring Financing Strategies with Credit Insurance for Capital-constrained Supply Chain Xun Xu, Assistant Professor, California State University, Stanislaus, One University Circle, Turlock, CA, 95382, United States, Nina Yan, Baowen Sun This study examines and compares two factoring financing strategies: supplier insurance and factor insurance for supply chain using credit insurance. We use game theory models to find the optimal operations and financing decisions of supply chain participants, which include supplier, retailer, insurer, and factor. We find although the optimal decisions are different under the two strategies, both increase the profit of whole supply chain. We conduct empirical studies validating the modeling results. We provide implications of implementing factoring financing strategies to alleviate the SME retailers’ financial constraints and enhance the supply chain performance. n TC80 Hyatt, Curtis B Practice- Supply Chain Management IV Contributed Session Chair: Matthew Petering, University of Wisconsin-Milwaukee, Industrial and Manufacturing Engineering Dept, Ems E367, Milwaukee, WI, 53201, United States 1 - Sharing Demand Forecast with Common Retailer under Competition Aditya Jain, Baruch College, Zicklin School of Business, 55 Lexington Ave, Suite 9-240, New York, NY, 10010, United States We consider two competing manufacturers’ decision to share private demand information with a common retailer. We show that the incentive to share information diminishes with competition intensity, which is contrary to existing results without competition, as well as investigate manufactures’ investment in gathering information. 2 - Strategic Management of Humanitarian Supply Chains for Disaster Relief and Readiness Seong-Hyun Nam, Professor, University of North Dakota, 2517 Sand Hills Ave., Grand Forks, ND, 58201, United States This research project will also examine the option contract pricing approach to the relief supply chain management and discuss in more detail about how the model presented in this paper can help the humanitarian supply chain managers make strategic decisions on their goal achievement. 3 - Ranking of Key Supply Chain Enablers in Small and Medium Enterprise with Reference to Indian Handloom Sector Tarunima Mishra, Research Scholar, Indian Institute of Technology, Kharagpur, D 507, Nivedita Hall, Kharagpur, 721302, India, Jitesh J. Thakkar, Kunal Kanti Ghosh Handloom industry lies in SME which is the second largest sector providing employment to rural people in India but it is battling for its survival. This paper attempts to study and prioritize various enablers responsible for poor performance of small and medium industry while focusing on handloom industry with the help of interpretive structural modelling (ISM) and MICMAC analysis. 4 - The Impact of Supply Chain Disruptions on Organizational Performance: A Literature Review Mansoor Shekarian, Graduate Student, North Carolina A&T State University, Greensboro, NC, 27408, United States, Mahour Parast This paper examines the effect of supply chain disruptions on organizational performance. We employ a systematic literature review to identify different conceptualizations and theorizations of supply chain disruptions, and to understand how different types of supply chain disruptions affect organizational performance. We later discuss organizational capabilities (resilience enhancers) that can improve an organizational response to supply chain disruptions. Finally, we outline future research directions in supply chain risk management and supply chain resilience. 5 - Inventory Control with Flexible Demand: Cyclic Case with Multiple Batch Supply and Demand Processes Matthew Petering, Associate Professor, University of Wisconsin- Milwaukee, Industrial and Manufacturing Engineering Dept, Ems E367, Milwaukee, WI, 53201, United States, Xi Chen, Wen-Huan Hsieh We introduce, and present methods for solving, the cyclic inventory control problem with multiple flexible batch supply and demand processes. The objective of this new problem is to minimize the average or maximum amount of inventory of a single item that is held during a cycle of given length in a buffer whose stock is replenished by multiple batch supply processes and consumed by multiple batch demand processes. The problem is noteworthy in that the decision maker has control over the timing and lot sizes of all supply and demand processes. Thus, demand is flexible.

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