2015 Informs Annual Meeting

WA01

INFORMS Philadelphia – 2015

Wednesday, 8:00am - 9:30am

3 - Assembly Flowshop Scheduling to Minimize Maximum Tardiness Harun Aydilek, GUST University, Mishref, Mishref, Kuwait, aydilek.h@gust.edu.kw, Asiye Aydilek, Ali Allahverdi Two-stage assembly flowshop scheduling problem with the objective of minimizing maximum tardiness is addressed where setup times are separate. A hybrid simulated annealing algorithm is proposed. Results show that the algorithm not only performs well for separate setup times case but also for zero setup times case. 4 - Multi-agent Based Production Scheduling Service for Cloud Manufacturing This paper applies the multi-agent system and cloud computing technologies to establish production scheduling service for cloud manufacturing paradigm. Each Multi-Agent system is packed with an intelligent algorithm solution for different types of workshop. The self adaptive parameter setting mechanism is designed for the algorithm based on the workshop parameter. 5 - Genetic Algorithm Based Approach for the Airline Crew Pairing Problem Muhammet Deveci, Yildiz Technical University, Yildiz Campus A Qiong Zhu, Shanghai Jiao Tong University, Mechanical Engineering Building 715, Shanghai, 200240, China, 7384702@qq.com, Jie Zhang The aim of the airline crew-pairing problem (CPP) is to generate a set of minimal cost crew pairings covering all flight legs. The model has been formulated as set covering problem. The proposed approach is based on a hybrid genetic algorithm (GA). In fact, some heuristics are developed in the GA’s process. Also a branch- and-bound algorithm is applied to test the airline CPP. Our results clearly demonstrate the success of our solution approaches on real-world instances WA03 03-Room 303, Marriott Logistics and Inventory Management Contributed Session Chair: Olga Rusyaeva, Kuehne Logistics University, Grofler Grasbrook 17, Hamburg, Germany, olga.rusyaeva@the-klu.org 1 - Managing Inventory of Perishable Products in Multiple Locations Fang Liu, Assistant Professor, Nanyang Business School, Nanyang Technological University, 50 Nanyang Avenue, South Spine S3- B2A-13, Singapore, 639798, Singapore, liu_fang@ntu.edu.sg, Yun Fong Lim Consider a retailer selling multiple products with random demands over a single season. Upon receiving the products, the retailer stores them to multiple warehouses, each with a limited storage capacity. Because the costs to store and retrieve a unit of product vary with the warehouses, the retailer needs to properly assign the products and choose from which warehouses to retrieve these products after demand realizes. We study the retailer’s optimal decisions in these two stages. 2 - Responsiveness Improvements in Inventory Management Systems with Imperfect Information Seyed Shahab Mofidi, Rensselaer Polytechnic Institute, 110 8th St, CII 5007, Troy, NY, 12180, United States of America, mofids@rpi.edu, Jennifer Pazour In inventory management systems, discrepancies between recorded and physical stock in warehouses cause undesirable response times. To our knowledge, most of the existing research highlights the attained benefits of eliminating errors. In contrast, this research incorporates existing errors and associated costs of inappropriate response times in order-fulfillment decisions. We develop mathematical models that recommend policies to improve responsiveness in existing situations. 3 - Travel-time Models for 3D Compact Automated Storage and Retrieval Systems Xiaozhen Zhao, Huazhong University of Science and Technology, No.1037,Luoyu Road, Hongshan District, Wuhan, HB, 430074, China, zxzhust@163.com, Xianhao Xu In the 3D compact automated storage and retrieval systems,the stacker cranes are used to store or retrieva loads into/from the storage location. And the conveyors can move loads in the orthogonal direction. In this paper,we make the expected trave time model of the S/R machine,considering different I/O points and the dwell strategies of the S/R machine. block 34349, Besiktas/Istanbul, Istanbul, Turkey, muhammetdeveci@gmail.com, Nihan «etin Demirel

WA01 01-Room 301, Marriott

Acquisition and Logistics Sponsor: Military Applications Sponsored Session Chair: Aaron Burciaga, Analytics Executive, INFORMS Analytics Maturity Model, 4305 Majestic Ln, Fairfax, VA, 22033, United States of America, adburciaga@gmail.com 1 - Planning Naval Aircraft Procurement, Enhancements, and Retirements Over 30 Years Robert Dell, Professor And Chairman Of Operations Research, Naval Postgraduate School, Code OR/De, Monterey, Ca, 93943, United States of America, dell@nps.edu, Holly Zabinski, Gerald Brown This talk describes an integer linear program (ILP) developed to plan annual procurement of new United States Navy and Marine Corps aircraft, enhancements to aircraft, and retirement of aircraft over a 30-year horizon. ILP prescriptions must adhere to numerous annual and cumulative budget constraints, age requirements, and mission requirements. We present computational experience for realistic planning scenarios. 2 - An Optimization Approach to Integrated Requirements Development for Acquisition Programs Alexander Dessanti, Sandia National Laboratories, P.O. Box 5800, Albuquerque, NM, 87185-1188, United States of America, adessan@sandia.gov Requirements for defense acquisition programs have traditionally been developed in isolation with little regard for their interactive effects. Too often this results in program cancellation and billions of dollars wasted. This research seeks to improve defense acquisition processes by enabling a deep understanding of the interactions and potential conflicts between system requirements during their inception and suggesting defensible, mutually compatible goals that satisfy multiple stakeholders. 3 - Certification of Logistics Officers in the USAF Kenneth Schultz, Associate Professor, AFIT, 2950 Hobson Way, WPAFB, OH, 45433, United States of America, Kenneth.Schultz@afit.edu We study the costs and benefits for supporting Logistics Officer certification for Logistics Officers in the USAF. We compare civilian certification programs with a self developed program. WA02 02-Room 302, Marriott Scheduling I Contributed Session Chair: Qiong Zhu, Shanghai Jiao Tong University, Mechanical Engineering Building 715, Shanghai, 200240, China, 7384702@qq.com 1 - Scheduling Operations of Pumping Units in Onshore Oilfields under Electric-power Constraints Eduardo Camponogara, Professor, Federal University of Santa Catarina, Depart. Automation and Systems Eng., Florianopolis, SC, 88040900, Brazil, eduardo.camponogara@ufsc.br In onshore oilfields, rod pumps are powered by electric motors to lift oil from the bottom of production wells. The pumps operate according to cyclic control policies that alternate between on and off pumping periods designed to drive maximum production. This cyclic behavior gives rise to the problem of scheduling pumpoff operations to minimize the system power peak. This work presents MILP formulations for the coordination of control policies and their reconfiguration during operations. 2 - Operational Scheduling of Storage in Decentralized Energy Management

Johann Hurink, University of Twente, P.O. Box 217, Enschede, 7500 AE, Netherlands, j.l.hurink@utwente.nl, Thijs Van Der Klauw, Marco Gerards

Within decentralized energy management an important task is to steer a local micro grid towards a pre-specified energy profile over a given period. To reach this goal, storage is one of the crucial ingredients. In this talk we present concepts and algorithms to use storage devices to influence the energy profile of a micro grid. The objective takes into account the cost of the energy and the deviation from the desired profile.

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