Informs Annual Meeting Phoenix 2018

TD81

INFORMS Phoenix – 2018

3 - Writing to Bridge the Divide: Does Article Readability Affect Cross-citations in Operations and Supply Chain Management? Seth Washispack, Arizona State University, Tempe, AZ, 85281, United States, Seongkyoon Jeong There is a well-known divide between analytical and empirical researchers in the Operations and Supply Chain Management (OSCM) discipline. Although increasing the dissemination of knowledge across the two methodological camps can advance the development of the field, few solutions to this dichotomy have been suggested. Using 9,405 articles collected from the top four analytical and top four empirical OSCM journals, we tested how readability affects forward citations. Our results suggest that lowering the cognitive barrier in academic writing has the potential to advance the discipline within and between the analytical and empirical camps. 4 - Application of Statistical Learning in Demand Forecasting and Supply Chain Resilience Weimar Ardila, University of South Florida, 4207 Winding Moss Trial, # 208, Tampa, FL, 33613, United States, Daniel Romero, Alex Savachkin The inventory redundancy is basically a supply chain resilience strategy that allows a system to increase the safety stock levels to respond in the best way to sudden increases in demand. However, increases in the whole system’s inventory levels also imply increases in costs related to the inventory management. A better forecast of the demand, from a statistical learning approach, could generate a better performance in the inventory policy, which would allow the system to react adequately to demand disruptions, without unnecessary increases in inventory levels. n TD80 Hyatt, Curtis B Practice- Supply Chain Management III Contributed Session Chair: Rajiv Saxena, APL Logistics, 11458 N. 128th Place, Scottsdale, AZ, 85259-3528, United States 1 - Exploring the Role of Supplier and Product Characteristics in Vendor-managed Inventory Roelof Post, University of Groningen, Akkerstraat 77, Groningen, 9717KG, Netherlands, Paul Buijs, Jaap Wieringa, Hans Wortmann Research shows that transferring stocking decisions and ownership of inventories to suppliers can improve the performance of supply chains, but for which suppliers does this hold? Using both transaction data and empirical observations, we show how supplier and product characteristics affect the gains of a vendor managed inventory (VMI) implementation. 2 - Random Capacity Disruptions in a Make-to-Stock Company with Stochastic Demand and Capacity Antonio Arreola-Risa, Associate Professor, Texas A&M University, Mays Business School, INFO Department, 4217 TAMU, College Station, TX, 77843-4217, United States, Philip J. Mizzi, Barry Keys A single-product, make-to-stock firm is considered. Demand and capacity are stochastic, with capacity experiencing random disruptions. Inventory is managed using a base-stock policy and demand stock-outs are back-ordered. The base-stock minimizing the economic cost of inventory holding and demand back-ordering is determined, as is the disruptions’ impact on the optimal base-stock and cost. 3 - Supply Chain Optimization in Action – Experiences of a Practitioner Rajiv Saxena, Vice President, Supply Chain Solutions, APL Logistics, 11458 N. 128th Place, Scottsdale, AZ, 85259-3528, United States An efficient and effective supply chain could be a competitive differentiator for a company. There is a major potential to cut logistics costs in the supply chain of a company through application of data analytics and optimization techniques. This presentation will include real-life data analytics and optimization case studies covering areas of network design, transportation optimization and facilities design and showcase how a 3PL provider can help a company significantly improve the efficiency and effectiveness of its supply chain.

n TD81 Hyatt, Phoenix East Optimization IV Contributed Session Chair: Mehmet Unal, CoreLogic, 40 Pacifica, Suite 900, San Francisco, CA, 92618, United States 1 - Cooperation Online and Brick and Mortar Retailers Returns and Induced Customer Traffic Implication Maryam Mahdikhani, PhD Candidate, Rutgers University, 1 Washington Park, Room 442, Newark & New Brunswick, NJ, 07102, United States, Tolga Aydinliyim, Monire Jalili Motivated by partnerships between online and Brick&Mortar (B&M) retailers where the online retailer operates a micro store within the B&M store (e.g., Amazon within Kohl’s), we study consumers’ returns channel choice and induced B&M store customer traffic implications as well as when such partnerships are profitable for the involved parties. 2 - Scheduling Energy Consumption for Residential Stand-alone PV Systems Dongjin Cho, Auburn University, 1324 Tulip Court, Auburn, AL, 36830, United States Among various renewable energy sources, solar energy is considered an effective solution to the shortage of energy in the future. A stand-alone photovoltaic (PV) system is particularly significant in an isolated area where access to the grid is limited. Because solar energy generation primarily depends on the availability of solar irradiance, energy management becomes crucial while satisfying user comfort and system efficiency. In this paper, we propose an energy consumption scheduling model for a residential house with a stand-alone PV system and a battery. We develop a mixed-integer optimization model that uses consumption patterns and appliance priority to schedule the use of the appliances. 3 - Optimizing Total Earliness and Tardiness Costs with Maximum Allowable Tardiness Limit Through Unrelated Parallel Machine Scheduling in Job Shops Parsa Kianpour, Graduate Research Assistant, Wichita State University, Wichita, KS, 67206, United States, Deepak Gupta, Krishna krishnan, Bhaskaran Gopalakrishnan Motivated by the practical scheduling problem of job shops, this study evaluates unrelated parallel machine scheduling models and proposes a new model considering effects of maximum allowable tardiness. It compares the total cost provided by the proposed model with the case in which there is no limitation on tardiness. In addition, the existing model in the literature is simplified to reduce computational time and enable corporate scheduling staff to use the model efficiently. The model is validated using data collected from a local job shop that manufactures aerospace parts. 4 - Optimization of Solid Waste Management in a Metropolitan City: A Case Study in Chennai, a Major Metropolitan City in India Sumit Saxena, IIT Madras, Chennai, India, Chandrasekharan Rajendran The aim of this research is to optimize the total cost (collection and transportation cost) of solid waste management for Corporation of Chennai (CoC), the civic body that governs the city of Chennai, the capital of the Indian state of Tamil Nadu. CoC handles about 7 million people’s waste disposal, and the waste accounts for 4,841 tonnes per day.We present a mathematical model, followed by a heuristic approach for the deterministic waste-generation scenario, and a simulation-optimization model for the stochastic waste-generation scenario. The models serve to address the issue of allocation and routing of trucks for waste pickup, and delivery to transfer stations, and thereafter to dumping yards.

377