• International Journal of Technology (IJTech)
  • Vol 3, No 2 (2012)

Decision Making Models for Quality Improvement

Decision Making Models for Quality Improvement

Title: Decision Making Models for Quality Improvement
Dana Santoso Saroso

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Published at : 17 Jan 2014
Volume : IJtech Vol 3, No 2 (2012)
DOI : https://doi.org/10.14716/ijtech.v3i2.95

Cite this article as:
Saroso, D.S., 2012. Decision Making Models for Quality Improvement. International Journal of Technology. Volume 3(2), pp. 169-181

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Dana Santoso Saroso Department of Industrial Engineering, University of Mercu Buana, Jl. Meruya Selatan, Jakarta 11650, Indonesia
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Abstract
Decision Making Models for Quality Improvement

The study of quality management is associated with improved quality. Improved quality also is basically related to the decision-making at every stage of the production process. The decisions made will determine the success rate of quality improvement can be achieved. To achieve optimal results, we need quality improvement model as a planning program. The impact is related to the cost. This paper reviews several models of quality improvement. The discussion begins with a list of some existing models. Afterwards the models are grouped into a model approach that surveys the impact of quality improvement on the stages in the production process. Analysis is carried out on several models in order to achieve a target of the desired quality. From the analysis and discussion on the models of product quality improvement, it was found that the commercial aspects need to be taken into account in improving the product quality.

Product quality, Quality improvement, Quality model

References

Armistead, C., G. Clark, 1991. A Framework for Formulating After-Sales Support Strategy. International Journal of Operations and Production Management, 11(3), 111-124.

Bass, F.M, 1969. A new product growth model for consumer durables. Management Science, 15(5), 215-227.

Bell, D.E., and R.L. Keeney. 1975. A Market Share Theorem. Journal of Marketing Research, 12(2), 136-141.

Blischke, W.R., D.N.P. Murthy, 2000, Reliability Modeling, Prediction, and Optimization. Probability and Statistics, Brisbane, Australia: John Wiley and Sons, INC. xxvii, 812.

Buffa, E.S., R.K. Sarin, 1987. Modern Production / Operations Management: Wiley - New York.

Cohen, M.A., J. Eliashberg, T.H. Ho, 1996. New Product Development: The Performance and Time-to-Market Tradeoff. Management Science, 42(2): pp. 173-186.

Cohen, M.A. and S. Whang, 1997. Competing in product and service: a product life-cycle model. Management Science, 43(4): pp. 535-545.

Crosby, L.A., Evans, K.R., Cowles D., 1990. Relationship Quality in Service Selling. Journal of Marketing, 54(3), 68-81.

DeCroix, G.A., 1999. Optimal warranties, reliabilities and prices for durable goods in an oligopoly. European Journal of Operational Research., 112(3): pp. 554-569.

Djamaludin, I. 1993., Quality Control Schemes For Items Sold With Warranty. Unpublished Ph.D Thesis. The University of Queensland, Australia.

Faes, W., Matthyssens, P., 2009. Insights into the Process of Changing Sourcing Strategies. Journal of Business and Industrial Marketing, 24/3/4, 245-255.

Ferguson, M., Guide, V.D.; Koca, E., Souza, G.C., 2009. The Value of Quality Grading in Remanufacturing, Production and Operations Management, 18(3), 300–314.

Fine, C.H., 1986. Quality Improvement and Learning in Productive Systems. Management Science, 32(10): pp. 1301-1315.

Ghose, S., S.K. Mukhopadhya., 1993. Quality as the interface between manufacturing and marketing: A conceptual model and an empirical study. Management International Review, 33(1): pp. 39-52.

Kantor, P.B., W.I. Zangwill. 1991. Theoretical Foundation for a Learning Rate Budget. Management Science, 37(3): pp. 315-330.

Kingsman, B.G., A.A. de Souza., 1997. A knowledge-based decision support system for cost estimation and pricing decisions in versatile manufacturing companies. International Journal of Production Economics., 53(2): pp. 119-139.

Kohli, R., V. Mahajan., 1991. A Reservation-Price Model for Optimal Pricing of Multi-attribute Products in Conjoint Analysis. Journal of Marketing Research, 28(3): pp. 347-354.

Koksalan, M., R.D. Plante., 2003. Interactive Multi-criteria Optimization for Multiple-Response Product and Process Design. Manufacturing and Service Operations Management, 5(4): pp. 334-347.

Kovach, J., Cho, B.R., Antony, J., 2008. Development of a variance prioritized multi-response robust design framework for quality improvement. International Journal of Quality and Reliability Management. 26(4); pp: 380 – 396.

Krishnan, K.S., S.K. Gupta., 1967. Mathematical Model for a Duopolistic Market. Management Science, 13(7): pp. 568-583.

Lenox, M.J., Rockart, S.F., and Lewin, A.Y., 2006. Interdependency, Competition, and the Distribution of Firm and Industry Profits. Management Science. 52(5), 757-772.

Levy, F.K., 1965. Adaptation in the Production Process. Management Science, 11(6): pp.B136-B154.

Mallick, D.N., S.K. Mukhopadhyay, 2001. Local design vs. global design: a strategic business choice. European Journal of Operational Research, 131(2): pp. 389-399.

Mamer, J.W. (1987). Discounted and Per Unit Costs of Product Warranty. Management Science, 33(7): pp. 916-930.

Martinez, R., J.F. Rodriguez., 1997. Quality services model oriented to customers. Computers and Industrial Engineering, 33(1-2): pp. 153-156.

Monahan, G.E., 1987. The Structure of Equilibria in Market Share Attraction Models. Management Science, 33(2): pp. 228-243.

Murthy, D.N.P., D.G. Nguye., 1987. Optimal Development Testing Policies for Products Sold with Warranty. Reliability Engineering, 19(1987): pp. 113-123.

Murthy, D.N.P. and K.R. Kumar., 2000. Total product quality. International Journal of Production Economics., 67(3): pp. 253-267.

Porteus, E.L., 1986. Optimal Lot Sizing, Process Quality Improvement and Setup Cost Reduction. Operations Research., 34(1): pp. 137-144.

Robinson, B. and C. Lakhani, 1975. Dynamic Price Models for New-Product Planning. Management Science, 21(10): pp. 1113-1122.

Rust, R.T., R. Metters. 1996. Mathematical models of service. European Journal of Operational Research., 91(3): pp. 427-439.

Sahni, N.S., Piepel, G.F., 2009. Product and Process Improvement Using Mixture-Process Variable Methods and Robust Optimization Techniques. Journal of Quality Technology, 41(2), 181-197.

Shipley, M.F., A. de Korvin, and K. Omer, 2001. A Fuzzy Logic-Based Decision Model to Satisfy Goals for Successful Product / Service Introduction. European Journal of Operational Research, 135(1): pp. 209-219.

Souza, G.C.; B.L. Bayus, and H.M. Wagner, 2004. New-Product Strategy and Industry Clockspeed. Management Science, 50(4): pp. 537-549.

Spence, A.M., 1981. The Learning Curve and Competition. The Bell Journal of Economics, 12(1): pp. 49-70.

Teng, J.T., G.L. Thompson, 1996. Optimal strategies for general price-quality decision models of new products with learning production costs. European Journal of Operational Research., 93(3): pp. 476-489.

Turner, K.F.; Bienstock, C.C.; and Reed, R.O., 2010. An Application of the Conceptual Model of Service Quality to independent Auditing Services. Journal of Applied Business Research, 26(4), 1-7.

Verma, R., et al., 2001. Effective Design of Products / Services: An Approach Based on Integration of Marketing and Operations Management Decisions. Decision Sciences, 32(1):pp. 165-193.

Wacker, J.G., 1989. Integrative theory of strategic quality management: A cost-benefit framework for evaluating quality improvement programmes. International Journal of Production Research., 27(1): pp. 53-71.