Informs 2015

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INFORMS Philadelphia – 2015
374
Wednesday, 8:00am - 9:30am
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,
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, , 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,
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,
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,
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,
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, ,
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.
3 - Assembly Flowshop Scheduling to Minimize Maximum Tardiness
Harun Aydilek, GUST University, Mishref, Mishref, Kuwait,
, 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
Qiong Zhu, Shanghai Jiao Tong University, Mechanical
Engineering Building 715, Shanghai, 200240, China,
Jie Zhang
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
block 34349, Besiktas/Istanbul, Istanbul, Turkey,
, Nihan «etin Demirel
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,
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,
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,
, 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, , 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.
WA01