Assad, A.A., Lilien, G.L., and Wasil, E.A.: Excellence in Management Science Practice, Prentice Hall, 1992
Bradley, H.E.: Operations Research '90, Pergamon Press, 1990
Bradley, S., Hax, A., and Magnanti, T.: Applied Mathematical Programming, Addison-Wesley, 1977.
Dacre, T. and Wisniewski, M.: Mathematical Programming, Optimization Models for Business and Management Decision Making, McGraw-Hill, 1990
Dyer, J.S. and Shapiro, R.D.: Management Science/Operations Research Cases and Readings, John Wiley & Sons, 1982
Shapiro, R.D.: Optimization Models for Planning and Allocation, John Wiley & Sons, 1984
Decision Science
Interfaces
Journal of the Operational Research Society
Operations Research
Management Science
ORSA Journal on Computing
Abara, J.: Applying Integer Linear Programming to the Fleet Assignment Problem, Interfaces, vol. 19, no. 4, 1989, pp. 20-28.
Describes a method for solving the fleet assignment problem using an integer linear programming model, permitting assignment of two or more fleets to a flight schedule simultaneously.
Arntzen, B.C., et al.: Global Supply Chain Management at Digital Equipment Corporation, Interfaces, vol. 25, no. 1, 1995, pp. 69-93.
Describes a global supply chain model (GSCM) at Digital Equipment Corporation to evaluate global supply chain alternatives and determine a worldwide manufacturing and distribution strategy.
Bammi, D.: Northern Border Pipeline Logistics Simulation, Interfaces, vol. 20, no. 3, 1990, pp. 1-13.
Describes a simulation model in GPSS used to analyze pipe delivery. Includes variables arrival of pipe from abroad, construction of pipe in domestic factories, transportation, inspection, and welding.
Bausch, D.O., et al.: Consolidating and Dispatching Truck Shipments of Mobil Heavy Petroleum Products, Interfaces, vol. 25, no. 2, 1995, pp. 1-24.
Describes a computer-assisted system to consolidate and dispatch lube products from its 10 plants using a nonhomogeneous fleet.
Blumenfeld, D.E., et al.: Reducing Logistics Costs at General Motors, Interfaces, vol. 17, no. 1, 1987, pp. 26 - 47.
Describes a system developed at GM for scheduling delivery of materials, parts, and components for 20,000 supplier plants to over 160 GM plants.
Bowers, M.R., et al.: Lower In-Process Inventories and Better On-Time Performance at Tanner Companies, Inc., Interfaces, vol. 25, no. 4, 1995, pp. 30-43.
Describes a short-term production planning and scheduling system that cuts work-in-progress levels by $200,000 and increases on-time deliveries from 74 to 90 percent.
Breitman, R.L., et al.: PLANETS: A Modeling System for Business Planning, Interfaces, vol. 17, no. 1, 1987, pp. 94-106.
Describes the Production Location Analysis NETwork System (PLANETS) which provides General Motors with the capability to evaluate complex quantifiable business decisions.
Brown, G.G., et al.: An Optimization Model for Modernizing the Army's Helicopter Fleet, Interfaces, vol. 21, no. 4, 1991, pp. 39-52.
Describes an optimization-based decision support system developed for procurement and modernization tasks in the military. Includes variables such as yearly operating, maintenance, retirement, service-life extension, and new procurement costs with constraints.
Bucciarelli, M., et al.: A Desktop-OR Success: Modeling Coast Guard Buoy Tender Operations, Interfaces, vol. 25, no. 4, 1995, pp. 1-13.
Describes a desktop-OR decision support system to support the Coast Guard's planned replacement of a 37-vessel seagoing and coastal buoy tender fleet.
Burns, L.D., et al.: Distribution Strategies that Minimize Transportation and Inventory Costs, Operations Research, Vol. 33, no. 3, 1985, pp. 469-489.
Develops an analytic method for minimizing the cost of distributing freight by truck from a supplier to many customers.
Carino, H.F., et al.: Optimizing Wood Procurement in Cabinet Manufacturing, Interfaces, vol. 18, no. 2, 1988, pp. 10-19.
Describes an LP model for optimum wood procurement in cabinet manufacturing.
Carlisle, D.P., et al.: A Turnkey, Microcomputer-Based Logistics Planning System, Interfaces, vol. 17, no. 4, 1987, pp. 16-26.
Describes a microcomputer-based decision support system for logistics planning.
Carroll, W.J., et al.: Evolutionary Change in Product Management: Experiences in the Car Rental Industry, Interfaces, vol. 25, no. 5, 1995, pp. 84-104.
Hertz's Yield Management System integrates information management technology and sophisticated operations research techniques to determine prices, fleet planning, and fleet deployment.
Clements, D.W., et al.: Analytical MS/OR Tools Applied to a Plant Closure, Interfaces, vol. 24, no. 2, 1994, pp. 1-12.
Describes how time-series forecasting and linear programming models were used to plan plant closures and schedule production during a phase-out period at Allied-Signal.
Cohen, M., et al.: Optimizer: IBM's Multi-Echelon Inventory System for Managing Service Logistics, Interfaces, vol. 20: no. 1, 1990, pp. 65-82.
Describes a multi-echelon inventory system for flexible and optimal control of service levels and spare parts inventory in IBM's U.S. network for service support.
Cohen, M., et al.: Strategic Analysis of Integrated Production-Distribution Systems: Models and Methods, Operations Research, vol. 36, no. 2, 1988, pp. 216-228.
Describes a comprehensive modeling framework for linking decisions and performance throughout the material production distribution supply chain.
Cosares, S., et al.: SONET Toolkit: A Decision Support System for Designing Robust and Cost-Effective Fiber-Optic Networks, Interfaces, vol. 25, no. 1, 1995, pp. 20-40.
Describes a DSS that designs robust fiber-optic networks that protect services against the consequences of equipment failure.
Dantzig, G.B.: The Diet Problem, Interfaces, vol. 20, no. 4, 1990, pp. 43-47.
Professor Dantzig reflects on the history of linear programming and the simplex method.
Davis, T.: Effective Supply Chain Management, Sloan Management Review, vol. 34, no. 4, pp. 35-44.
Describes several cases in which companies have reevaluated entire product families in the context of their supply chain.
Durso, A., et al.: An Analytical Approach to Reshaping the United States Army, Interfaces, vol. 25, no. 1, 1995, pp. 109-133.
The Total Army Personnel Life Cycle Model determines a downsizing strategy that allows optimal manning in reshaping the army.
Feo, T.A., et al.: Facility-Wide Planning and Scheduling of Printed Wiring Board Assembly, Operations Research, vol. 43, no. 2, 1995, pp. 219-230.
Describes a decision support system INSITES that is designed to assist Texas Instruments in the day-to-day assembly operations of their printed wiring board facilities.
Fincke, U. et al.: Reducing Distribution Costs in a Two-Level Inventory System at Ciba-Geigy, Interfaces, vol. 18, no. 6, 1988, pp. 92-104.
Describes a simulation model of a two-level inventory and distribution system used to develop and analyze strategies for reducing overall distribution costs.
Fisher, M.L., et al.: Making Supply Meet Demand in an Uncertain World, Harvard Business Review, vol. 72, no. 3, 1994, pp. 83-94.
Describes a way to improve forecasts and simultaneously redesign planning processes to minimize the impact of inaccurate forecasts.
Garg, U., and Tsai, C.: Modeling and Analysis of a Large Wire and Cable Plant Operation, Interfaces, vol. 16, no. 6, 1986, pp. 77-85.
Describes a small LP for optimizing the production operations at Tatung Wire and Cable Plant.
Grandzol, J.R., et al.: Using Mathematical Programming to Help Supervisors Balance Workloads, Interfaces, vol. 25, no. 4, 1995, pp. 92-103.
The Naval Aviation Supply Office uses mixed integer programming to assign workloads.
Graves, G.W., McBride, R.D., Gershkoff, I., Anderson, D., and Mahidhara, D.: Flight Crew Scheduling, Management Science, vol. 39, no. 6, 1993, pg. 736.
Describes an integer programming model for the crew scheduling problem. Includes a small test example.
Geoffrion, A.M.: A Guide to Computer-Assisted Methods for Distribution Systems Planning, Sloan Management Review, vol. 16, no. 2, 1975, pp. 17-41.
Describes a framework of criteria by which to judge the practical usefulness of any computer-based method for distribution system planning, and applies it to critically evaluate available approaches.
Geoffrion, A.M.: Better Distribution Planning with Computer Models, Harvard Business Review, vol. 54, no. 4, 1976, pp. 92-99.
Conveys a sense of what is now possible in the area of computer-based models for distribution system planning, and offers some practical suggestions to management.
Geoffrion, A.M., et al.: Multicommodity Distribution System Design by Benders Decomposition, Management Science, vol. 20, no. 5, 1974, pp. 822-844.
Describes a mixed integer programming model for the determining the location of distribution facilities and a solution technique based on Benders decomposition.
Geoffrion, A.M., et al.: Twenty Years of Strategic Distribution System Design: An Evolutionary Perspective, Interfaces, vol. 25, no. 5, 1995, pp. 105-127.
Describes six evolutionary processes in using optimization to design distribution systems.
Gershkoff, I.: Optimizing Flight Crew Schedules, Interfaces, vol. 19, no. 4, 1989, pp. 29-43.
Describes the use of an integer programming approach for building flight crews at American Airlines.
Hedditch, D. and Nicholls, M.: The Development of an Integrated Mathematical Model of an Aluminum Smelter, Journal of the Operational Research Society, vol. 44, no. 3, 1993, pp. 225-235.
Solves production-planning problem at Alcoa Australia using a non-linear model.
Hoadley, B., et al.: Improving the Utility of the Bellcore Consortium, Interfaces, vol. 23, no. 1, 1993, pp. 27-43.
Describes a 0-1 nonlinear integer programming algorithm to support R&D scheduling and budgeting.
Hoffman, K.L., and Padberg, M.: Solving Airline Crew Scheduling Problems by Branch-and-Cut, Management Science, vol. 39, no. 6, 1993, pg. 657.
Describes an integer programming model for the crew scheduling problem. Includes a small test example.
Huntley, C.L., et al.: Freight Routing and Scheduling at CSX Transportation, Interfaces, vol. 25, no. 3, 1995, pp. 58-71.
Describes a computer-aided routing and scheduling system for investigating low-cost routes and schedules, and for evaluating strategic plans.
Irani, S.A., Leung, L.C., and Snyder, W.S.: Multi-Machine Replacement for Sequential Implementation of a Hybrid Flexible Manufacturing System, Proceedings of the Second ORSA/TIMS Conference on Flexible Manufacturing Systems, edited by K.E. Stecke and R. Suri, Amsterdam, 1986, pp. 233-243.
Describes a linear programming model for optimizing the throughput of a manufacturing system, and compares the optimal solutions under two different configurations for a small case.
Johnson, M.E., and Brandeau, M.L.: An Analytic Model for Design of a Multivehicle Automated Guided Vehicle System, Management Science, vol. 39, no. 12, 1993, pg. 1477.
Describes an integer programming model for the problem of designing a multivehicle automated guided vehicle system. Includes a small test example and an application at Hewlett-Packard.
Jonsson, O. and Ronnqvist, M.: A Heuristic for Purchasing of Sheet Metal Decisions Based on Mathematical Programming, Journal of the Operational Research Society, vol. 45, no. 8, 1994, pp. 878-885.
Using an IP model, the authors solve a product mix problem at Saab Scania AB Truck division, Sweden. The paper includes data for a test problem.
Katz, P., et al.: Telephone Companies Analyze Price Quotations with Bellcore's PDSS Software, Interfaces, vol. 24, no. 1, 1994, pp. 50-63.
Describes a decision support system to assist telephone companies in analyzing price quotations under business volume discounts.
Kekre S., et al.: A Logistics Analysis at Heinz, Interfaces, vol. 20,
no. 5, 1990, pp. 1-13.
Describes a DSS to assess the costs of using three means of transportation.
Klingman, D., Philips, N., Steiger, D., and Young, W.: The Successful Deployment of Management Science throughout Citgo Petroleum Corporation, Interfaces, vol. 17, no. 1, 1987, pp. 4-25.
Describes a linear programming model that combines other techniques for diverse applications at Citgo.
Kuby, M., et al.: Planning China's Coal and Electricity Delivery System, Interfaces, vol. 25, no. 1, 1995, pp. 41-68.
Describes a decision support system consisting of a mixed integer program, a geographic information system, and related submodels, that is used for strategic-level investment planning in the China's coal and electricity sectors.
Lee, H.L., et al.: Evolution of Supply-Chain-Management Models and Practice at Hewlett-Packard, Interfaces, vol. 25, no. 5, 1995, pp. 42-63.
Describes an iterative process developed by an internal team of industrial engineers and management scientists at Hewlett-Packard to reduce inventory and improve order fulfillment.
Lee. H.L., et al,: Material Management in Decentralized Supply Chains, Operations Research, vol. 41, no. 5, pp. 835-847.
Describes the perceived needs of manufacturing managers at Hewlett-Packard for model support in managing materiel flows in the supply chains.
Liberatore, M.J., and Miller, T.: A Hierarchical Production Planning System, Interfaces, vol. 15, no. 4, 1985, pp. 1-11.
Describes a transportation-LP programming model for optimizing production planning, scheduling, and inventory control at the Olean Tile Company.
Liberatore, M.J., et al. Expert Support Systems for New Product Development Decision Making: A Modeling Framework and Applications, Management Science, vol. 41, no. 8, 1995, pp. 1296-1316.
Describes a modeling framework that merges knowledge-based expert systems and decision support systems with management science methods for project evaluation.
Love, R.R., et al.: Management Science Improves Fast-Food Operations, Interfaces, vol. 20, no. 2, 1990, pp. 21-29.
Describes how an owner of four McDonald's restaurants used an LP to schedule employees with differing work skills and work-time availability and preferences to satisfy manpower requirements.
Madsen, O.: An Application of Traveling-Salesman Routines to Solve Pattern-Allocation Problems in the Glass Industry, Journal of the Operational Research Society, vol. 39, no. 3, 1988, pp. 249-256.
Solves a cutting-sequencing problem as a traveling salesman problem.
Martin, C.H., et al.: Integrated Production, Distribution, and Inventory Planning at Libbey-Owens-Ford, Interfaces, vol. 23, no. 3, 1993, pp. 68-78.
Describes FLAGPOL, a large-scale linear-programming model of the production, distribution, and inventory operations in the flat glass business of Libbey-Owens-Ford which deals with four plants, over 200 products, and over 40 demand centers in a 12-month planning horizon.
Mehring J.S., et al,: Supply and Distribution Planning Support for Amoco (U.K.) Limited, Interfaces, vol. 20, no. 4, 1990, pp. 95-104.
Describes a Supply and Distribution Planning System (SDS) developed for Amoco (U.K.) Limited.
Might, R.J.: Decision Support for Aircraft and Munitions Procurement, Interfaces, vol. 17, no. 5, 1987, pp. 55-63.
Describes a linear program used to support procurement decisions.
Moore, E.W., et al.: The Indispensable Role of Management Science in Centralizing Freight Operations at Reynolds Metal Company, Interfaces, vol. 21, no. 1, 1991, pp. 107-129.
Describes a mixed integer programming and simulation model used to select and deploy carriers for over 200 plants, warehouses, and suppliers.
Nicholls, M.: Optimizing the Operations of an Ingot Mill in an Aluminum Smelter, Journal of the Operational Research Society, vol. 45, no. 9, 1994, pp. 987-998.
Solves a production-planning problem at Ingot Mill as an IP model.
Oliff, M.D., and Burch, E.: Multiproduct Production Scheduling at Owens-Corning Fiberglass, Interfaces, vol. 15, no. 5, 1985, pp. 25-34.
Describes an integer programming model for optimizing production scheduling through a three-phase hierarchical model.
Pickard, N. and Smith V.: An Integer Programming Solution to a Capacity Planning Problem in an Armaments Factory, Journal of the Operational Research Society, vol. 44, no. 10, 1993, pp. 973-981.
Solves a capacity-planning problem at one of the factories in Royal Ordnance as an IP model. The paper includes data for a small test problem.
Pooley J.: Integrated Production and Distribution Facility Planning at Ault Foods, Interfaces, vol. 24, no. 4, 1994, pp. 113-121.
Describes a project that developed a model of the company's facility network and that resulted in a number of important changes.
Powers, R.F.,: Optimization Models for Logistics Decisions, Journal of Business Logistics, Vol. 10, no. 1, pp. 107-121.
Describes the nature, use, advantages, and limitations of mathematical optimization for logistics analysis and decision making.
Powell, W.B., et al.: Maximizing Profits for North American Van Lines' Truckload Division: A New Framework for Pricing and Operations, Interfaces, vol. 18, no. 1, 1988, pp. 21-41.
Describes a network model for assigning drivers to loads. Uses real time information about drivers and loads with forecasts of future loads and truck activities.
Quinn, P, et al.: Allocating Telecommunications Resources at L.L. Bean, Inc., Interfaces, vol. 21, no. 1, 1991, pp. 75-91.
Describes an economic-optimization model for optimizing the deployment of telemarketing resources using queuing theory.
Ramirez-Beltran, N.D.: Integer-Programming to Minimize Labour Costs, Journal of the Operational Research Society, vol. 46, no. 2, 1995, pp. 139-146.
Proposed and solves an IP model using branch-and-bound techniques in an industry that produces beer and soft drinks. The paper includes data for a test problem.
Rigby, B., et al.: The Evolution of Texaco's Blending Systems: From OMEGA to StarBlend, Interfaces, vol. 25, no. 5, 1995, pp. 64-83.
Describes an optimization-based decision support system to assist in planning and scheduling Texaco's blending operations.
Robinson, E.P., et al.: Designing an Integrated Distribution System at DowBrands, Inc., Interfaces, vol. 23, no. 3, 1993, pp. 107-117.
Describes an optimization-based decision support system (DSS) for designing two-echelon, multi-product distribution systems and its application at DowBrands, Inc.
Sampson, S.E., et al.: Class Scheduling to Maximize Participant Satisfaction, Interfaces, vol. 25, no. 3, 1995, pp. 30-41.
Describes a local search heuristic procedure for scheduling classes and maximizing students satisfaction.
Schmidt, M.S., et al.: Taguchi Designs and Linear Programming Speed New Product Formulation, Interfaces, vol. 19, no. 5, 1989, pp. 49-56.
Describes the development of a new photoresist using Taguchi experimental designs to describe the linear responses of key characteristics and linear programming to optimize the factors of formulation.
Shapiro, J.F., et al.: Optimizing the Value Chain, Interfaces, vol. 23, no. 2, 1993, pp. 102-117.
Describes an advanced DSS implemented on a personal computer and used to evaluate strategic production and distribution planning questions in a large consumer products company.
Sherman, H.D., et al.: Managing Bank Productivity Using Data Envelopment Analysis (DEA), Interfaces, vol. 25, no. 2, 1995, pp. 60-80.
Describes a linear programming based benchmarking technique for objectively comparing the bank's branches and for identifying best practice and less-productive branches.
Sinha, G.P., et al.: Strategic and Operational Management with Optimization at Tata Steel, Interfaces, vol. 25, no. 1, 1995, pp. 6-19.
Describes a model based on mixed integer linear programming and hierarchical optimization to plan the optimal use of limited electrical power.
Stenger, A.J., et al.: Commercially Available Software for Integrated Logistics Management, International Journal of Logistics Management, vol. 4, no. 2, pp. 61-74.
Provides practitioners and educators with an empirical assessment of available logistics software for integrated hierarchical planning.
Towill, D.R., et al.: Industrial Dynamics Simulation Models in the Design of Supply Chains, International Journal of Physical Distribution & Logistics management, vol. 22, no. 5, 1992, pp. 3 -13.
Reviews the operation of supply chains, and reaches some simple conclusions about ways of reducing demand amplification.
Turner, J.R.: Integrated Supply Chain Management: What's Wrong with This Picture?, Industrial Engineering, vol. 25, no. 12, pp. 52-55.
Logistics consultants and practitioners share experiences and thoughts concerning integrated supply chain management.
Van de Ven, A.D.M., et al.: International Logistics: A Diagnostic Method for the Allocation of Production and Distribution Facilities, International Journal of Logistics Management, vol. 4, no. 1, 1993, pp. 67-83.
Describes a diagnostic method that can be used as a decision support system for evaluating existing and alternate production and distribution structures.
Van Vliet, Andre, et al.: Interactive Optimization of Bulk Sugar Deliveries, Interfaces, vol. 22, no. 3, 1992, pp. 4-14.
Describes an interactive system for daily planning and adjustment of bulk delivery schedules.
Vasco, F.J., Wolf, F.E., Stott, K.L., and Scheirer, J.W.: Selecting Optimal Ingot Sizes for Bethlehem Steel, Interfaces, vol. 19, no. 1, 1989, pp. 68-84.
Describes a two-phase mixed integer programming model for optimizing the ingot sizes.
Von Lanzenauer, C.H., et al.: RRSP Flood: LP to the Rescue, Interfaces, vol. 17, no. 4, 1987, pp. 27-33.
Describes an LP model used to plan manpower needs at the Financial Services Group.
Wasil, E.A., et al.: Project Management on the PC: Software, Applications, and Trends, Interfaces, vol. 18, no. 2, 1988, pp. 75-84.
Review of existing project management software.
Wikner, J. et al.: Smoothing Supply Chain Dynamics, International Journal of Production Economics, vol. 22, pp. 231-248.
Describes a three-echelon Forrester production distribution system that is used as a supply chain reference model for comparing various methods of improving total dynamic performance.
Yoshino, T., et al.: The Traffic-Control System on the Hanshin Expressway, Interfaces, vol. 25, no. 1, 1995, pp. 94-109.
The Hanshin Expressway's traffic-control system relies on limiting cars entering the expressway and giving drivers accurate, recent traffic information to avoid congestion.
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