{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,2]],"date-time":"2025-08-02T19:04:03Z","timestamp":1754161443646,"version":"3.41.2"},"reference-count":35,"publisher":"Emerald","issue":"3","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2010,8,24]]},"abstract":"<jats:sec>\n                  <jats:title>Purpose<\/jats:title>\n                  <jats:p>Cost estimation based on expert's judgment is not an ideal approach, since human decisions are usually determined according to general attributes of limited and unstructured experience. The purpose of this paper is to develop a generic model of intelligence and cognitive science-based method that can play an active role in process cost prediction within the shortest possible time.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Design\/methodology\/approach<\/jats:title>\n                  <jats:p>In this paper, an intelligent system was conceived for prediction of total process cost of the product. The system is based on the concept of case-based reasoning. It is a method for solving problems by making use of previous (source cases), similar situations and reusing information and knowledge about such situations. The source case data are generated by Taguchi technique and the cost function calculates the corresponding cost of each experiment in the economic time scale. The target case consists of the process variables whose cost needs to be determined. The cost for the source cases, consisting of the process variables of the already manufactured products are known in priori. The system calculates the similarities between the source cases and target cases and calculates the optimum cost. The fuzzy-C-means clustering method provides the model connecting the process parameters with total costs searched for.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Findings<\/jats:title>\n                  <jats:p>The results show that the quality of predictions made by the intelligent system is comparable to the quality assured by the experienced expert. The proposed expert system is superior to traditional cost accounting system and assists inexperienced users in predicting the optimum process cost within the shortest possible time.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Research limitations\/implications<\/jats:title>\n                  <jats:p>The research was limited to the traditional machining process.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Practical implications<\/jats:title>\n                  <jats:p>The paper can be applied to any process industry and will have immense practical value.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Originality\/value<\/jats:title>\n                  <jats:p>This is the first time an expert system has been developed for the process industry that can calculate the process cost within a few days or a few hours before making an offer to a buyer.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1108\/17563781011066710","type":"journal-article","created":{"date-parts":[[2010,8,28]],"date-time":"2010-08-28T07:09:22Z","timestamp":1282979362000},"page":"431-448","source":"Crossref","is-referenced-by-count":5,"title":["Process cost prediction: a soft computing approach"],"prefix":"10.1108","volume":"3","author":[{"given":"Amitava","family":"Ray","sequence":"first","affiliation":[{"name":"Department of Mechanical Engineering, Sikkim Manipal Institute of Technology, Majitar, India"}]},{"given":"Bijan","family":"Sarkar","sequence":"additional","affiliation":[{"name":"Department of Production Engineering, Jadavpur University, Kolkata, India"}]},{"given":"Subir Kumar","family":"Sanyal","sequence":"additional","affiliation":[{"name":"Department of Production Engineering, Jadavpur University, Kolkata, India"}]}],"member":"140","reference":[{"issue":"3","key":"2025072819004794800_b1","doi-asserted-by":"crossref","first-page":"167","DOI":"10.1243\/PIME_PROC_1994_208_075_02","article-title":"An expert system for concurrent product and process design of mechanical parts","volume":"208","author":"Abdalla","year":"1994","journal-title":"Journal of Engineering Manufacture"},{"doi-asserted-by":"crossref","unstructured":"Allen, A.J.\n           and Swift, G.K. (1990), \u201cManufacturing process selection and costing\u201d, Proceedings of the Institution of Mechanical Engineers (ImechE), B: Journal of Engineering Manufacture, Vol. 204, pp. 143-8.","key":"2025072819004794800_b3","DOI":"10.1243\/PIME_PROC_1990_204_057_02"},{"issue":"17","key":"2025072819004794800_b4","doi-asserted-by":"crossref","first-page":"4481","DOI":"10.1080\/00207540050205244","article-title":"Cost estimation system for machined part","volume":"38","author":"Ben-Arieh","year":"2000","journal-title":"International Journal of Production Research"},{"issue":"3","key":"2025072819004794800_b5","doi-asserted-by":"crossref","first-page":"288","DOI":"10.1109\/33.148492","article-title":"Process-based cost modeling","volume":"15","author":"Bloch","year":"1992","journal-title":"IEEE Transactions on Components, Hybrids, and Manufacturing Technologies"},{"doi-asserted-by":"crossref","unstructured":"Bouaziz, Z.\n          , Ben Younes, J. and Zghal, A. (2006), \u201cCost estimation system of dies manufacturing based on the complex machining features\u201d, International Journal of Advanced Manufacturing Technology, Vol. 28, pp. 262-71.","key":"2025072819004794800_b6","DOI":"10.1007\/s00170-004-2179-3"},{"unstructured":"Bryne, D.M.\n           and Taguchi, G. (1986), \u201cThe Taguchi approach to parameter design\u201d, ASQC Quality Congress Transactions, Anaheim, CA, p. 168.","key":"2025072819004794800_b7"},{"issue":"2010","key":"2025072819004794800_b8","doi-asserted-by":"crossref","first-page":"4224","DOI":"10.1016\/j.eswa.2009.11.080","article-title":"Conceptual cost estimates using evolutionary fuzzy hybrid neural network for projects in construction industry","volume":"37","author":"Cheng","year":"2010","journal-title":"Expert Systems with Applications"},{"doi-asserted-by":"crossref","unstructured":"Duran, O.\n          , Rodriguez, N. and Consalter, L.A. (2009), \u201cNeural networks for cost estimation of shell and tube heat exchangers\u201d, Expert Systems with Applications, Vol. 36, pp. 7435-40.","key":"2025072819004794800_b24","DOI":"10.1016\/j.eswa.2008.09.014"},{"issue":"11","key":"2025072819004794800_b10","doi-asserted-by":"crossref","first-page":"875","DOI":"10.1016\/0010-4485(96)00009-7","article-title":"Cost evaluation in design with form features","volume":"28","author":"Feng","year":"1996","journal-title":"Computer-aided Design"},{"doi-asserted-by":"crossref","unstructured":"Gayretli, A.\n           and Abdalla, H.S. (1999), \u201cA prototype constraint-based system for automation and optimization of machining processes\u201d, Journal of Engineering Manufacture, Vol. 213, pp. 655-76.","key":"2025072819004794800_b11","DOI":"10.1243\/0954405991517100"},{"issue":"6-7","key":"2025072819004794800_b12","doi-asserted-by":"crossref","first-page":"423","DOI":"10.1016\/0010-4485(94)00030-1","article-title":"Automated design-to-cost integrating costing into the design decision","volume":"28","author":"Geiger","year":"1996","journal-title":"Computer-aided Design"},{"issue":"2","key":"2025072819004794800_b15","first-page":"73","article-title":"Using a manufacturing constraint network to identify cost-critical areas of design","volume":"9","author":"Hayes","year":"1995","journal-title":"AI EDAM-Artificial Intelligence for Engineering Design and Manufacturing"},{"doi-asserted-by":"crossref","unstructured":"Jong-Hun, J.\n           (2002), \u201cManufacturing cost estimation for machined parts based on manufacturing features\u201d, Journal of Intelligent Manufacturing, Vol. 13, pp. 227-38.","key":"2025072819004794800_b16","DOI":"10.1023\/A:1016092808320"},{"issue":"2-3, 27","key":"2025072819004794800_b18","doi-asserted-by":"crossref","first-page":"96","DOI":"10.1504\/IJPLM.2008.021436","article-title":"An intelligent system for estimating full product life cycle cost at the early design stage","volume":"3","author":"Liu","year":"2008","journal-title":"International Journal of Product Lifecycle Management"},{"doi-asserted-by":"crossref","unstructured":"Luong, L.H.S.\n           and Spedding, T. (1995), \u201cAn integrated system for process planning and cost estimation in hole making\u201d, International Journal of Advanced Manufacturing Technology, Vol. 10, pp. 411-15.","key":"2025072819004794800_b22","DOI":"10.1007\/BF01179405"},{"unstructured":"Machinability Data Centre\n           (1980), Machining Data Handbook, 3rd ed., Vol. 1 and 2, Metcut Research Associates, Cincinnati, OH.","key":"2025072819004794800_b23"},{"unstructured":"Mcllhenny, R.C.\n          , Sethumadhave, T.S., Lee, K.S. and Keys, L.K. (1993), \u201cAn integrated system approach to facilitate early cost estimation\u201d, Proceedings of the ASME Design for Manufacturability Conference, Las Vegas, NV, pp. 105-9.","key":"2025072819004794800_b21"},{"unstructured":"Nolen, J.\n           (1989), Computer Automated Process Planning for World-class Manufacturing, Marcel Dekker, New York, NY.","key":"2025072819004794800_b20"},{"issue":"9","key":"2025072819004794800_b35","doi-asserted-by":"crossref","first-page":"618","DOI":"10.1007\/BF01350820","article-title":"Developing an integrated framework for feature-based manufacturing cost estimation","volume":"13","author":"Ou-Yang","year":"1997","journal-title":"International Journal of Advanced Manufacturing Technology"},{"unstructured":"Phadke, S.M.\n           (1989), Quality Engineering Using Robust Design, Prentice-Hall, Englewood Cliffs, NJ.","key":"2025072819004794800_b28"},{"unstructured":"Qing-Lan, H.\n           (2009), \u201cResearch on modular-product's cost control and decision-making system based on CBR\u201d, Proceedings of the 21st Annual International Conference on Chinese Control and Decision Conference, Guilin, China, pp. 204-8.","key":"2025072819004794800_b25"},{"issue":"3-4","key":"2025072819004794800_b26","doi-asserted-by":"crossref","first-page":"623","DOI":"10.1016\/S0360-8352(98)00174-0","article-title":"A methodology for modeling manufacturing costs at conceptual design","volume":"35","author":"Rehman","year":"1998","journal-title":"Computers and Industrial Engineering"},{"unstructured":"Schank, R.C.\n           and Abelson, R.P. (1977), Scripts, Plans, Goals and Understanding, Lawrence Erlbaum, Hillsdale, NJ.","key":"2025072819004794800_b29"},{"doi-asserted-by":"crossref","unstructured":"Shehab, E.\n           and Abdalla, H. (2002), \u201cAn intelligent knowledge-based system for product cost modeling\u201d, International Journal of Advanced Manufacturing Technology, Vol. 19, pp. 49-65.","key":"2025072819004794800_b27","DOI":"10.1007\/PL00003967"},{"unstructured":"Sheldon, D.\n          , Huang, G. and Perks, R. (1993), \u201cSpecification and development of cost estimating databases for engineering design\u201d, Proceedings of the ASME Design for Manufacturability Conference, Las Vegas, NV, pp. 91-6.","key":"2025072819004794800_b30"},{"issue":"1","key":"2025072819004794800_b31","doi-asserted-by":"crossref","first-page":"33","DOI":"10.1002\/(SICI)1098-2329(199921)18:1<33::AID-ADV4>3.0.CO;2-6","article-title":"Design for manufacture of a cost-based system for molded parts","volume":"18","author":"Shing","year":"1999","journal-title":"Advances in Polymer Technology"},{"unstructured":"Taguchi, G.\n           (1986), Introduction to Quality Engineering, American Supplier Institute, Dearborn, MI.","key":"2025072819004794800_b32"},{"issue":"1","key":"2025072819004794800_b34","doi-asserted-by":"crossref","first-page":"50","DOI":"10.1080\/095119200130054","article-title":"A framework for estimating manufacturing cost from geometric design data","volume":"13","author":"Wei","year":"2000","journal-title":"International Journal of Computer Integrated Manufacturing"},{"unstructured":"White, J.A.\n           (1987), Production Handbook, 4th ed., Wiley, New York, NY.","key":"2025072819004794800_b33"},{"unstructured":"Wierda, L.S.\n           (1990), Cost Information Tools for Designers: A Survey of Problems and Possibilities with an Emphasis on Mass Produced Sheet Metal Parts, Delft University Press, Delft.","key":"2025072819004794800_b36"},{"unstructured":"Bendell, A.\n           (1988), \u201cIntroduction to quality engineering in Taguchi methods\u201d, Proceedings of the 1988 European Conference, Elsevier, London, pp. 1-14.","key":"2025072819004794800_frd3"},{"issue":"1-2","key":"2025072819004794800_frd6","doi-asserted-by":"crossref","first-page":"111","DOI":"10.1016\/S0360-8352(99)00034-0","article-title":"A computer-based intelligent system for design for assembly","volume":"37","author":"Daabub","year":"1999","journal-title":"Computers & Industrial Engineering"},{"issue":"2","key":"2025072819004794800_frd7","doi-asserted-by":"crossref","first-page":"895","DOI":"10.1007\/s001700050147","article-title":"Cost estimation during design step: parametric method versus case based reasoning method","volume":"15","author":"Duverlie","year":"1999","journal-title":"International Journal of Advanced Manufacturing Technology"},{"unstructured":"Sullivan, L.P.\n           (1987), \u201cThe power of Taguchi methods\u201d, Quality Progress, June, pp. 76-9.","key":"2025072819004794800_frd15"},{"unstructured":"Taguchi, G.\n          , Elasyed, E. and Hsiang, T. (1989), Quality Engineering in Production Systems, McGraw-Hill, New York, NY.","key":"2025072819004794800_frd16"}],"container-title":["International Journal of Intelligent Computing and Cybernetics"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/www.emeraldinsight.com\/doi\/full-xml\/10.1108\/17563781011066710","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.emerald.com\/insight\/content\/doi\/10.1108\/17563781011066710\/full\/xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.emerald.com\/ijicc\/article-pdf\/3\/3\/431\/889519\/17563781011066710.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/www.emerald.com\/ijicc\/article-pdf\/3\/3\/431\/889519\/17563781011066710.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,28]],"date-time":"2025-07-28T23:00:58Z","timestamp":1753743658000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.emerald.com\/ijicc\/article\/3\/3\/431\/133431\/Process-cost-prediction-a-soft-computing-approach"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2010,8,24]]},"references-count":35,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2010,8,24]]}},"URL":"https:\/\/doi.org\/10.1108\/17563781011066710","relation":{},"ISSN":["1756-378X","1756-3798"],"issn-type":[{"type":"print","value":"1756-378X"},{"type":"electronic","value":"1756-3798"}],"subject":[],"published":{"date-parts":[[2010,8,24]]}}}