CONTACT INFORMATION
Office:	211 Kalkin  FIND OFFICE
Phone:	656-0495
E-Mail:	Jesse@bsad.uvm.edu
Office Hours:	Tues & Thurs 1:30-3:30 pm, or by appointment

• BSAD 173 - Production and Operations Analysis
  Section A, 002 Kalkin 11:00-12:15 MW - ON-LINE SYLLABUS
  Section B, 002 Kalkin 12:30-1:45 MW - ON-LINE SYLLABUS
  Section Z1, 002 Kalkin 11:00-12:15 MW - ON-LINE SYLLABUS
  Section Z2, 002 Kalkin 12:30-1:45 MW - ON-LINE SYLLABUS
   
• BSAD 270 - Quantitative Analysis for Managerial Decisions
  Section A, 004 Kalkin 5:00-6:15 MW - ON-LINE SYLLABUS
  Section Z1, 004 Kalkin 5:00-6:15 MW - ON-LINE SYLLABUS

Publication History

Journal Article, Academic Journal

• Shirland, L. E.; Jesse, R. R.; Thompson, R. L.; Lacovou, C. L. - "Determining attribute weights using mathematical programming" (Refereed) - OMEGA: The International Journal of Management Science - 2003 - v. 31, no. 6, pp. 423-437 [View publication] [Show/Hide Abstract]
  Abstract: Group decisions are an important element of successful knowledge management in organizations. Such decisions are difficult to make, however, especially when they involve a large set of attributes that require decision-makers to develop rankings. This paper presents a goal programming model for determining constrained regression estimates of attribute weights. The model is developed using pair-wise comparison ratings that are derived by using triads of the attributes. In addition, metrics are presented for measuring individual and group consensus. A specific application to the health care industry is presented to illustrate results that are obtained from the model.
  
• Shirland, L. E.; Jesse, R. R. - "Assessing A State's Political Climate For Business Development And Growth" (Refereed) - Business Journal - 1999 - v. 14, no. 1 & 2, pp. 15-20
• Jesse, R. R. - "A Spreadsheet Heuristic Approach for the Stocking and Retention of Slow-Moving, Obsolescent Items" (Refereed) - Computers and Industrial Engineering - 1990 - v. 18, no. 2, pp. pp. 163-173
• Jesse, R. R. - "On the Retention of Finished Goods Inventory When Reorder-Occurrence Is Uncertain" - Journal of Operations Management - 1986 - v. vol.6, no. no. 2, pp. pp. 149-157
• Kraushaar, J. M.; Jesse, R. R. - "A Computer Method for Inventory Production/Disposal Decisions When Reorder-Occurrence Is Uncertain" (Refereed) - Computers and Industrial Engineering - 1985 - v. 9, no. 2, pp. 273-286
• Jesse, R. R.; Blackstone, J. H. - "A Note on Using the Lot-Sizing Index for Comparing Discrete Lot-Sizing Techniques" - Journal of Operations Management - 1985 - v. vol. 5, no. no. 4, pp. pp. 461-464
• Mitra, A.; Fox, J. C.; Jesse, R. R. - "A Note on Determining Order Quantities with a Linear Trend in Demand" (Refereed) - 1984 - v. Vol. 35, no. No. 2,
• Jesse, R. R.; Blackstone, J. H.; Cox, J. F.; Mitra, A. - "A Re-examination of Lot Sizing Procedures for Requirements Planning Systems: Some Modified Rules" (Refereed) - International Journal of Production Research - 1983 - v. Vol. 21, no. No. 4, pp. pp. 471-478
• Jesse, R. R.; Mitra, A.; Cox, J. F. - "EOQ Formula: Is It Valid under Inflationary Conditions" (Refereed) - DECISION SCI. - 1983 - v. Vol. 14, no. no. 3, pp. pp. 370-374 [View publication] [Show/Hide Abstract]
  Abstract: The classical analysis of the economic order quantity (EOQ) problem ignores the effect of inflation. Using a model that includes both inflationary trends and time discounting, it is concluded that inflation brings no incentive either to increase or to decrease order quantities. In addition, order quantities can be computed using the classical EOQ formula under inflationary conditions, provided that the cost of capital invested in inventory is interpreted as an inflation-free cost. This interpretation implies that changes in the inflation rate should not affect the cost of capital that is utilized in the EOQ formula for determining order quantities
  
• Synder, C. A.; Cox, J. F.; Jesse, R. R. - "A Dependent Demand Approach to Service Organization Planning and Control" (Refereed) - The Academy of Management Review - 1982 - v. Vol. 7, no. No. 3 (July, 1982), pp. pp. 455-466 [View publication]
• Jesse, R. R.; Clarke, S. J.; Cox, J. F.; Zmud, R. W. - "How to Evaluate Your Material Requirements Planning System" - 1982 - v. Vol.23, no. No. 3, pp. 15-34
• Jesse, R. R.; Radcliffe, R. C. - "On Speculation and Price Stability under Uncertainty" (Refereed) - 1981 - v. Vol. 63, no. N0. 1, pp. pp. 129-132
• Jesse, R. R. - "Production Inventory Decisions under Order Occurrence Risk: The Deterministic Order Quantity Case" (Refereed) - Management Science - 1976 - v. Vol. 22, no. No. 6 (Feb., 1976), pp. pp. 664-669 [View publication]

Conference Proceeding

• Jesse, R. R. - "On the Disposal of Finished Inventory When Reorder Occurrence Is Uncertain" (Refereed) - AIDS Annual Meeting - 1979
• Shirland, L. E.; Jesse, R. R. - "Prioritizing Customer Requirements Using Goal Programming" (Refereed) - Annual Quality Congress Proceedings - 1997 - v. 51, no. 1997, pp. 297-308 [View publication] [Show/Hide Abstract]
  Abstract: Comparative attribute analysis (CAA) is a technique for determining priority weights in quality function deployment (QFD) studies. QFD transforms customer needs or attributes into product requirements and specifications, and CAA can help identify the relative values of the attributes. CAA analysis involves pairwise comparisons of n attributes on a nine-point scale, with 1 corresponding to no preference between the pair and 9 corresponding to extreme preference for the second attribute in a given pair. Determining the priority weights is a problem in goal programming for which the constraints have the form wk - wj = 0, where wk and wj are the weights for pairs (j,k) of the n attributes. This paper provides an example using five attributes and ten pairs of comparisons. Two customers rate the ten pairs, producing a matrix from which the goal programming model can be built. A degree of consensus emerges from the model, based on four factors: number of attributes, number of customer raters, priority weights from each rater, and combined priority weights from all raters. An alternative to the CAA method is the analytic hierarchy process (AHP). It generates eigenvectors from the customer ratings. The AHP method has the advantage of producing hierarchies, but the CAA approach is more accurate than AHP.
  
• Shirland, L. E.; Jesse, R. R. - "Prioritizing Customer Requirements Using Goal Programming" (Refereed) - ASQC's 51st Annual Quality Congress Proceedings (American Society for Quality Control) - 1997 - no. May, pp. 297-308
• Shirland, L. E.; Jesse, R. R. - "Prioritizing Strategic Issues Using Quadratic Goal Programming" (Refereed) - Innovation in Technology Management - The Key to Global Leadership. PICMET '97: Portland International Conference on Management and Technology - 1997 - v. July, pp. 528-531 [Show/Hide Abstract]
  Abstract: Many techniques have been used to develop priorities, or weights, for a set of decision-making factors. These include multidimensional scaling, regression analysis, analytic hierarchy process, mathematical programming and Logit. In this paper, the 'factors' are considered to be the relevant decision issues in strategic planning. A quadratic goal programming approach for determining the weights for a set of strategic issues is presented. The procedure starts with pair-wise comparison ratings that are derived by using triads of the issues.
  
• Jesse, R. R.; Hummel, J. W. - "A Stocking Model for High-Value, Low-Demand Items" (Refereed) - DSI Annual Meeting - 1991
• Jesse, R. R. - "Capital Equipment Selection Strategy Under Volatile Economic Conditions" - AUTOFACT '85 Conference, Computer and Automated Systems Association of the Society of Manufacturing Engineers - 1985
• Jesse, R. R. - "Manufacturing Simulation with GEMS" (Refereed) - Southern Management Association Annual Meeting - 1981
• Jesse, R. R. - "Inventory Decisions Under Uncertain Demand: A Dynamic Modeling Approach" - 1972

Book, Scholarly-New

• Cox, J. F.; Jesse, R. R. - "An Application of Material Requirements Planning to Higher Education" (Refereed) - 1981 - v. Vol. 12, no. No. 2, pp. pp. 240-260

Book Review

• Budnick, F. S.; Dennis, W.; Mojena, R.; Jesse, R. R. - "Principles of Operations Research for Management" (Refereed) - Interfaces - 1979 - v. Vol. 9, no. No. 4, pp. 153-154