Sunday

More documents

Recommendations

Info

SB31 2 - The Impact of Cost and Quality on Illegal Goods in the Supply Chain Maqbool Dada, Professor, Johns Hopkins Carey Business School, 100 International Drive, Baltimore, MD, 21202, United States of America, dada@jhu.edu, Arkadi Seidscher, Stefan Minner A manufacturer of a branded product may deter competition from parallel imports, smuggled goods or counterfeits by investing in higher quality and lowering price. A four stage model of competition is developed to examine the impact of such competition. The analysis also has implications for legal means of competition; for example, from store brands in supermarkets or generic drugs in pharmacies. 3 - How To (and How Not To) Manage Supplier’s Process Improvement: Delegation, Incentives, or Audit Mehmet Gumus, Assistant Professor, McGill University, 1001 Sherbrooke West, Montreal, QC, H3A1G5, Canada, mehmet.gumus@mcgill.ca, Mohammad Nikoofal In this paper, we explore the effectiveness of process improvement as a supply disruption mitigation strategy in the presence of moral hazard and adverse selection. In order to address these issues, we develop a dyadic supply chain model where both the degree of supply disruption risk and supplier’s mitigation effort are unobservable from retailer. Our analysis shows that eliminating moral hazard via monitoring has a non-monotonic effect on the screening cost. 4 - Intermediated Sourcing under Supply Disruption Risk Zhibin (Ben) Yang, Assistant Professor, University of Oregon, 1208 University of Oregon, Eugene, 97403, United States of America, zyang@uoregon.edu, Volodymyr Babich We analyze a model where multiple buyers decide whether to procure goods from unreliable suppliers directly or using an intermediary firm. We show that lowrevenue buyers may enjoy spill-over benefits of procurement cost reduction when high-revenue buyers choose to use the intermediary. Intermediation may also reduce system-wide product waste, by coordinating diversification efforts across buyers. These benefits have to be weighed against intermediation costs, such as double-marginalization. ■ SB31 31- North 222 C- CC Supply Chain Risk and Resilience Cluster: Managing Disruptions in Supply Chains Invited Session Chair: Kash Barker, Assistant Professor, School of Industrial and Systems Engineering, University of Oklahoma, 202 W. Boyd St., Rm 124, Norman, OK, 73019, United States of America, kashbarker@ou.edu 1 - Disruption Management during Supply Chain Disruptions Cameron MacKenzie, University of Oklahoma, 202 W. Boyd St., Norman, OK, United States of America, cmackenzie@ou.edu, Kash Barker Many firms suffered from supply disruptions due to the recent Japanese earthquake and tsunami. We analyze these disruptions by developing a model in which several suppliers’ production facilities are rendered inoperable. Each supplier must decide whether to move production to an alternate facility or wait for its facility to reopen. If suppliers do not produce at alternate facilities, firms will need to decide how to mitigate the impacts of a supply shortage. 2 - Resilient Supply-chain Network Design with Multi-sourcing Haifei Yu, PhD, Northeastern University, No.11, Lane 3, WenHua Road, Heping District,Liaoning, Shenyang, 110004, China, hfyu@mail.neu.edu.cn, Shoufeng Ji With the uncertainty risk of supply disruptions, it is critical for the supply-chain system to be resilient. We study the problem of designing a resilient supply chain network with multi-sourcing, and propose a chance-constrained programming model, and use a mixed integer linear programming to solve it. We evaluate the benefit of multi-sourcing, balance operation costs, resilience, and disruption risk by the computational experiments. 3 - Prediction and Prevention of Disruptions in Supply Chain Networks Xin Chen, Assistant Professor, Southern Illinois University Edwardsville, 3079 Engineering Building, Edwardsville, IL, 62026-1805, United States of America, xchen@siue.edu The objective of this research is to apply the failure mode, effects, and criticality analysis (FMECA) and graph theory to predict and prevent disruptions in supply chain networks. A network may be disrupted due to node failures. A node represents a supplier, customer, or transportation route. This research applies graph theory to model supply chain networks and uses the FMECA to identify critical nodes. A case study of a construction supply chain is analyzed to validate the methodology. INFORMS Phoenix – 2012 90 4 - Supply Chain Resilience Ivan Hernandez, Stevens Institute of Technology, 167 8th Street, Apt 4, Hoboken, NJ, 07030, United States of America, ihernand@stevens.edu, Jose Ramirez-Marquez, David Nowicki We present a method that allows decision makers to ensure a Supply Chain (SC) returns to a high level of performance following a contingency. We introduce the concept of SC resilience as a function of the post-event investment resources needed for the SC to “bounce back”. The concepts can be used as a guide for companies to use their long-term SC plan as a starting point, then begin to ask themselves what they would do if various contingencies occur. ■ SB32 32- North 223- CC Assembly Line Design and Balancing I Contributed Session Chair: Slim Daoud, Université de Technologie de Troyes, 32 Rue du Palais de Justice, Troyes, 10000, France, slim.daoud@utt.fr 1 - Spreadsheet Based Optimization for Cell Formation Problem Gurkan Ozturk, Assistant Professor, Anadolu University, Faculty of Engineering, Department of Industrial Eng., Eskisehir, 26555, Turkey, gurkan.o@anadolu.edu.tr, Mumin Sonmez In this study, a new hybrid algorithm based on competitive neural network and particle swarm optimization approaches is proposed to solve cell formation problem with alternative part routings. This algorithm is implemented in two spreadsheet platform: MS Excel and Google Spreadsheet. Although MS Excel faster than the Google Spreadsheet, the property of internet access of google spreadsheet presents different advantages. 2 - Neuro-fuzzy-genetic Algorithm for the Robotic Assembly Lines Balancing Slim Daoud, Université de Technologie de Troyes, 32 Rue du Palais de Justice, Troyes, 10000, France, slim.daoud@utt.fr, Yalaoui Farouk, Amodeo Lionel, Chehade Hicham, Duperray Philippe We are interested in an industrial application of a robotic assembly line problem. It consists of seizing the products on a moving conveyor and placing them on different deposit points. The goal is to optimize the efficiency of the line. As in our industrial application we are bounded by the execution time, we suggest a genetic algorithm combined with a neuro-fuzzy network to solve our problem. The experimental results show the advantages and the efficiency of the developed method. 3 - Balancing Mixed Model Assembly Line with Capacity Buffer Jinlin Li, Xi’an Jiaotong University, No.28, Xianning West Road, Xi’an, China, ljl1019@163.com, Jie Gao, Linyan Sun This paper investigate the design of a mixed model assembly line with capacity buffer to satisfy unstable demands. The objective is to minimize the expected labor cost, including cost for normal operation and overtime work. A mathematic model is built and a method is proposed to estimate the cost lower bound. A branch, bound and remember algorithm is developed and the numerical experiment shows that the algorithm is effective and efficient. 4 - Recognition of Freeform Surface Sheet Metal Features Saied Darwish, Professor, King Saud University, Riyadah, 800/11421, Saudi Arabia, darwish@ksu.edu.sa, Hammouda Mousal This paper describes the design and implementation of a system for automated feature recognition of freeform surface CAD models of stamped and notched sheet metal parts, represented in STEP AP203 format through CATIA V5.
■ SB33 33- North 224 A- CC Modeling Sustainability in Supply Chains Sponsor: Manufacturing & Service Oper Mgmt/ Sustainable Operations Sponsored Session Chair: Krishnan Anand, Associate Professor, University of Utah, David Eccles School of Business, Salt Lake City, UT, 84108, United States of America, k.anand@utah.edu 1 - Finding and Implementing Energy Efficiency Projects in Industrial Facilities Sam Aflaki, HEC, France, aflaki@hec.fr, Paul R. Kleindorfer There are many profitable Energy Efficiency projects in many industrial enterprises that are not implemented. One of the main barriers often cited as the main culprit is lack of an internal management framework to find, value and execute these projects. Using a conceptual approach, we rely on the existing sustainable operations tools to provide such a framework. A case example of a large manufacturing site illustrates the details of this framework. 2 - Closed-loop Supply Chain Design under Uncertainty Vedat Verter, Professor, McGill University, 1001 Sherbrooke St. W., Montreal, QC, H3A 1G5, Canada, vedat.verter@mcgill.ca, Wenyi Chen, Beste Kucukyazici We present a mathematical formulation for designing a closed-loop supply chain under uncertainties with regards to demand, return rate and recovery rate. The model is applied in studying a realistic problem instance that involve the production and recycling of washers and tumble dryers in Germany. We will presents the managerial insights derived from a large set of computational experiments. 3 - Consumer Markets for Remanufactured Products: Empirical Evidence and Economic Models James Abbey, Pennsylvania State University, 463A Business Building, University Park, PA, 16802, United States of America, jda188@psu.edu, Dan Guide, Joseph Blackburn When considering remanufactured products, do consumers follow the typical principle of ‘cheaper is better’ or do other rules apply? Additionally, do consumer markets for remanufactured products demonstrate homogeneous price-taking behavior? This research addresses these and other questions in relation to consumer markets for remanufactured products. Insights derive from triangulation of empirical investigations and tightly coupled economic modeling. 4 - Investing in Pollution Abatement Innovations under Emission Taxes and Cap-and-trade Francois Giraud-Carrier, University of Utah, David Eccles School of Business, 1645 E Campus Center Dr, Salt Lake City, UT, 84112, United States of America, f.giraud-carrier@business.utah.edu, Krishnan Anand We compare the incentives of polluting firms to invest in an innovative pollution abatement technology under two popular pollution governance structures— emission taxes and cap-and-trade. In our model, firms first decide whether to adopt the (costly) innovative technology, and then make production and abatement decisions. We compare the impact of each governance structure on firms’ pollution abatement strategies, output and profits, consumer surplus and welfare. ■ SB34 34- North 224 B - CC Product Achitecture and Design Contributed Session Chair: John Jung-Woon Yoo, Assistant Professor, Bradley University, 1501 W. Bradley Ave., Peoria, IL, 61625, United States of America, jyoo@bradley.edu 1 - Small Modular Infrastructure Caner Gocmen, Columbia Business School, 3022 Broadway, Uris Hall, 4V, New York, NY, 10027, United States of America, fgocmen13@gsb.columbia.edu, Garrett Van Ryzin, Eric Dahlgren, Klaus Lackner In many basic infrastructure industries, such as electric power generation, we have witnessed a trend of ever increasing unit size. We argue for a reversal of this trend - a radical shift to a world in which custom built technology of massive unit scale is replaced by small, modular and mass-produced units. To make this case, we develop a framework to evaluate the economics of unit scale and argue that many industries are already at a tipping point toward radically smaller unit scale. INFORMS Phoenix – 2012 91 2 - Strategic Linkages of Product Architecture Decisions: Organizational and Performance Implications Ujjal Mukherjee, Research Assistant, University of Minnesota, 1261 Gibbs Ave., Apt G, Saint Paul, MN, 55108-1159, United States of America, mukh0067@umn.edu What are the strategic linkages to product architecture decisions and what are the organizational and performance implications of such linkages? We adopt an ‘alignment’ perspective for the strategic positions, and the product architecture decisions. This frame-work is used as a basis to develop a proposed product architecture categorization and organizational architecture linkages. The framework includes the linkages ‘strategic positioning – product architectureorganization-performance’. 3 - Social Network Effects on Product Line Design Dilek Gunnec, University of Maryland, 3330 Van Munching Hall, College Park, MD, 20742, United States of America, dgunnec@rhsmith.umd.edu, Subramanian Raghavan We model peer influence effects among the social network of users of products from the same product line. Influence among customers alters their utilities from the products, and therefore do not allow for an a priori preference ordering for an individual among different product profiles at the outset. We analyze product diffusion processes over the network and identify the set of products to maximize the total market share when each customer selects the product with the highest utility. 4 - Performance Evaluation of Interface-based Solution Procedures for Modular Product Design John Jung-Woon Yoo, Assistant Professor, Bradley University, 1501 W. Bradley Ave., Peoria, IL, 61625, United States of America, jyoo@bradley.edu In our earlier work we have proposed a collaboration system for modular product design and proposed three interface-based solution approaches, a mathematical approach based on Integer Programming, an algorithmic approach based on branch-and-bound method and, finally, a heuristic method. The first two approaches are for the optimal solution, while the last one is for a heuristic solution. In this talk, the experimental results are discussed and the performance of the three approaches is compared. ■ SB35 SB35 35- North 225 A- CC Dynamic Pricing Sponsor: Revenue Management & Pricing Sponsored Session Chair: Ming Chen, Assistant Professor, California State University, School of Business Administration, Long Beach, CA, 90840, United States of America, Ming.Chen@csulb.edu 1 - Robust Customized Pricing Elcin Cetinkaya, Doctoral Student, Lehigh University, 200 W. Packer Avenue, Bethlehem, PA, 18015, United States of America, elcin.cetinkaya@lehigh.edu, Aurelie Thiele We study robust revenue management problems when companies request bids for services but their price-response function is not known precisely. The company bidding for these contracts only knows the previous bids it submitted to those businesses and whether they were accepted or not. We show how to derive tractable mathematical models for this problem and provide insights into the optimal solution. We also document the performance of the approach in numerical experiments. 2 - Joint Pricing and Inventory Decisions under Poisson Decomposition with Insights on Optimal Assortment Bacel Maddah, Associate Professor, American University of Beirut, Bliss Street, Beirut, Lebanon, bm05@aub.edu.lb, Ebru Bish, Hussein Tarhini We consider substitutable retail products in a market with logit choice, demand generated by Poisson decomposition, and a newsvendor-type supply setting. We focus on the joint pricing and inventory problem for a given assortment, under a highly accurate Taylor-like approximation. We show that the expected profit is unimodal in the price and analyze the effect of inventory on pricing. Then, with no approximation, we analyze the joint assortment and inventory problem, and derive novel insights.
Page 1 and 2: How to Navigate the Technical Sessi
Page 3 and 4: ■ SA05 05- West 103 A- CC Journal
Page 5 and 6: semideviation risk function with hi
Page 7 and 8: ■ SA17 17- West 208 B- CC Stochas
Page 9 and 10: ■ SA23 23- West 212 C- CC Surviva
Page 11 and 12: 4 - Understanding the Performance o
Page 13 and 14: ■ SA34 34- North 224 B-CC Decisio
Page 15 and 16: ■ SA40 40- North 227 A- CC Dynami
Page 17 and 18: 2 - Ties that Bind? The Differentia
Page 19 and 20: ■ SA52 52- North 232 B- CC Electr
Page 21 and 22: 4 - Market Partitioning and Competi
Page 23 and 24: 2 - An Analysis of Scoring and Buye
Page 25 and 26: ■ SA70 70- Suite 316- Hyatt Decis
Page 27 and 28: 4 - Harmonization and Aggregation o
Page 29 and 30: ■ SB10 10- West 105 B- CC A Robus
Page 31 and 32: ■ SB15 15- West 202- CC Software
Page 33 and 34: 2 - A Multi-core Benchmark used to
Page 35: 3 - Strategic Inventories and Dynam
Page 39 and 40: 3 - The Design of Experiential Serv
Page 41 and 42: 3 - Time to Recall: A Duration Anal
Page 43 and 44: ■ SB50 50- North 231 C- CC Raythe
Page 45 and 46: 3 - Participatory Challenge Platfor
Page 47 and 48: 3 - Bundled Procurement for (Free)
Page 49 and 50: ■ SB70 70- Suite 316- Hyatt Econo
Page 51 and 52: 4 - Panel Discussion: Challenges an
Page 53 and 54: 3 - Sequential MARS for Optimizatio
Page 55 and 56: ■ SC13 13- West 106 B- CC Mathema
Page 57 and 58: ■ SC19 19- West 211 A- CC Joint S
Page 59 and 60: 4 - using Empirical Data to Classif
Page 61 and 62: ■ SC30 30- North 222 B- CC Risk M
Page 63 and 64: ■ SC35 35- North 225 A- CC Ticket
Page 65 and 66: 2 - The Effects of Stochastic Marke
Page 67 and 68: ■ SC46 46- North 229 B- CC Organi
Page 69 and 70: 2 - Optimization Models for Improve
Page 71 and 72: 2 - A Queueing System with Service
Page 73 and 74: 4 - Profit-charging Market Makers w
Page 75 and 76: ■ SC70 70- Suite 316- Hyatt Theor
Page 77 and 78: 3 - Operations Analysis Workforce D
Page 79 and 80: 3 - A Comparison of Criteria for th
Page 81 and 82: 3 - Partial Objective Function Ineq
Page 83 and 84: 3 - Developing a Dynamic Emergency
Page 85 and 86: ■ SD26 26- North 221 A- CC Effect
Page 87 and 88:
2 - The Effects of Risk Aversion an
Page 89 and 90:
4 - Distributed Resource Allocation
Page 91 and 92:
4 - An Optimal Solution to the Disc
Page 93 and 94:
3 - A Bi-level Formulation for the
Page 95 and 96:
■ SD53 53- North 232 C- CC Optimi
Page 97 and 98:
3 - Business Models and Processes f
Page 99 and 100:
3 - HSR: Paying Our Way Forward Nic
Page 101 and 102:
■ SD68 68- Suite 312- Hyatt Finan
Page 103:
4 - Private Valuation of Claims usi
show all

Sunday

Create successful ePaper yourself

Delete template?

Save as template?