Fuzzy Logic Approach to Determine the Optimum Nugget Production Capacity

Sesar Husen Santosa(1*), Suhendar Sulaeman(2), Agung Prayudha Hidayat(3), Ilham Ardani(4),

(1) IPB University
(2) University of Muhammadiyah Jakarta
(3) IPB University
(4) IPB University
(*) Corresponding Author
DOI: https://doi.org/10.23917/jiti.v19i1.10295

Abstract

This research aimed to present the Fuzzy approach in determining the optimal production capacity of the Nugget Production. The Fuzzy Model was developed by using two membership sets; i.e. the Overall Equipment Effectiveness (OEE) variable membership set of the production machine and Nugget Demand Forecasting. Nugget demand forecasting uses an exponential smoothing method due to its time-series type of query history data. OEE values were calculated using Availability, Performance and Quality Yield. In the Fuzzy approach, the Forecasting Membership Set uses the Triangular Membership Function type, and the OEE Membership Set uses the Trapezoidal Membership Function type. The fuzzy set model produced can be used as a tool for the company in determining the value of the Optimal Capacity production so that demands can be fulfilled and the product stocks decrease.

Keywords

fuzzy approach; OEE; forecasting; membership set; optimal capacity

Full Text:

PDF

References

Amindoust, A., Ahmed, S., Saghafinia, A., Bahreininejad, A. (2012). Sustainable supplier selection: A ranking model based on fuzzy inference system. Applied Soft Computing Journal, 12 (6), 1668–1677. https://doi.org/10.1016/j.asoc.2012.01.023

Anvari, F., Edwards, R., Starr, A. (2010). Methodology and theory evaluation of overall equipment effectiveness based on market. Journal of Quality in Maintenance Engineering, 16 (3), 256–270. https://doi.org/10.1108/13552511011072907

Baykasoglu, A., Gocken, T. (2010a). Advances in Engineering Software Multi-objective aggregate production planning with fuzzy parameters. Advances in Engineering Software, 41 (9), 1124–1131. https://doi.org/10.1016/j.advengsoft.2010.07.002

Baykasoglu, A., Gocken, T. (2010b). Multi-objective aggregate production planning with fuzzy parameters. Advances in Engineering Software, 41 (9), 1124–1131. https://doi.org/10.1016/j.advengsoft.2010.07.002

Bitran, G.R. (1993). Hierarchical Production Planning. Handbooks in Operations Research and Management Science, 4, 523-568.

Brown, R.G., Meyer, R.F. (1961). The Fundamental Theorem of Exponential Smoothing. Operations Research, 9 (5), 673–685. https://doi.org/10.1287/opre.9.5.673

Cadenas, E., Jaramillo, O.A., Rivera, W. (2010). Analysis and forecasting of wind velocity in chetumal, quintana roo, using the single exponential smoothing method. Renewable Energy, 35 (5), 925–930. https://doi.org/10.1016/j.renene.2009.10.037

Da Costa, S.E.G., De Lima, E.P. (2002). Uses and misuses of the “overall equipment effectiveness” for production management. IEEE International Engineering Management Conference, 2, 816–820.

Dejax, P., Gharbi, A., Kenne, J. (2012). Production planning of a hybrid manufacturing – remanufacturing system under uncertainty within a closed-loop supply chain. Int. J. Production Economics, 135, 81–93. https://doi.org/10.1016/j.ijpe.2010.10.026

Figueroa-García, J.C., Kalenatic, D., Lopez-Bello, C. A. (2012). Multi-period Mixed Production Planning with uncertain demands: Fuzzy and interval fuzzy sets approach. Fuzzy Sets and Systems, 206, 21–38. https://doi.org/10.1016/j.fss.2012.03.005

Garza-Reyes, J.A., Eldridge, S., Barber, K.D., Soriano-Meier, H. (2010). Overall equipment effectiveness (OEE) and process capability (PC) measures: A relationship analysis. International Journal of Quality and Reliability Management, 27(1), 48–62. https://doi.org/10.1108/02656711011009308

Mamdani, E.H. (1976). Advances in the linguistic synthesis of fuzzy controllers. International Journal of Man-Machine Studies, 8 (6), 669–678. https://doi.org/10.1016/S0020-7373(76)80028-4

Maravelias, C.T. (2009). Integration of production planning and scheduling. Computer Aided Chemical Engineering, 27 (C), 117–118. https://doi.org/10.1016/S1570-7946(09)70240-8

Muchiri, P., Pintelon, L. (2008). Performance measurement using overall equipment effectiveness (OEE): Literature review and practical application discussion. International Journal of Production Research, 46 (13), 3517–3535. https://doi.org/10.1080/00207540601142645

Mula, J., Poler, R., Garcı, J.P., Lario, F. C. (2006). Models for production planning under uncertainty: A review. International Journal of Production Economics, 103 (1), 271–285. https://doi.org/10.1016/j.ijpe.2005.09.001

Mula, J., Peidro, D., Poler, R. (2010). The effectiveness of a fuzzy mathematical programming approach for supply chain production planning with fuzzy demand. International Journal of Production Economics, 128 (1), 136–143. https://doi.org/10.1016/j.ijpe.2010.06.007

Oechsner, R., Pfeffer, M., Pfitzner, L., Binder, H., Müller, E., Vonderstrass, T. (2002). From overall equipment efficiency (OEE) to overall Fab effectiveness (OFE). Materials Science in Semiconductor Processing, 5 (4-5 SPEC.), 333–339. https://doi.org/10.1016/S1369-8001(03)00011-8

Phillis, Y.A., Andriantiatsaholiniaina, L.A. (2001). Sustainability: An ill-defined concept and its assessment using fuzzy logic. Ecological Economics, 37 (3), 435–456. https://doi.org/10.1016/S0921-8009(00)00290-1

Rezaei, J., Ortt, R. (2013). Supplier segmentation using fuzzy logic. Industrial Marketing Management, 42 (4), 507–517. https://doi.org/10.1016/j.indmarman.2013.03.003

Singh, R., Shah, D.B., Gohil, A.M., Shah, M.H. (2013). Overall equipment effectiveness (OEE) calculation - Automation through hardware & software development. Procedia Engineering, 51, 579–584. https://doi.org/10.1016/j.proeng.2013.01.082

Stevenson, M., Hendry, L.C., & Kingsman, B.G. (2005). A review of production planning and control: The applicability of key concepts to the make-to-order industry. International Journal of Production Research, 43 (5), 869–898. https://doi.org/10.1080/0020754042000298520

Taylor, P., Leachman, R.C., Carmon, T.F., Leachman, R.C., Carmon, T.F. (2007). On capacity modeling for production planning with alternative machine types. IIE Transactions, 24 (4), 37–41. https://doi.org/10.1080/07408179208964234

Rishel, T.D., Christy, D.P. (1996). Incorporating maintenance activities into production planning; Integration at the master schedule versus material requirements level. International Journal of Production Research, 34, 37–41. https://doi.org/10.1080/00207549608904912

Torabi, S.A., Ebadian, M., Tanha, R. (2010). Fuzzy hierarchical production planning (with a case study). Fuzzy Sets and Systems, 161 (11), 1511–1529. https://doi.org/10.1016/j.fss.2009.11.006

Tsarouhas, P. H. (2013). Evaluation of overall equipment effectiveness in the beverage industry: A case study. International Journal of Production Research, 51 (2), 515–523. https://doi.org/10.1080/00207543.2011.653014

Wang, R., Liang, T. (2004). Application of fuzzy multi-objective linear programming to aggregate production planning. Computers & Industrial Engineering, 46, 17–41. https://doi.org/10.1016/j.cie.2003.09.009

Wudhikarn, R. (2012). Improving overall equipment cost loss adding cost of quality. International Journal of Production Research, 50 (12), 3434–3449. https://doi.org/10.1080/00207543.2011.587841

Yaghin, R. G., Torabi, S. A., & Ghomi, S. M. T. F. (2012). Integrated markdown pricing and aggregate production planning in a two echelon supply chain : A hybrid fuzzy multiple objective approach. Applied Mathematical Modelling, 36(12), 6011–6030. https://doi.org/10.1016/j.apm.2012.01.029

Zammori, F. (2015). Fuzzy Overall Equipment Effectiveness (FOEE): Capturing performance fluctuations through LR Fuzzy numbers. Production Planning and Control, 26 (6), 451–466. https://doi.org/10.1080/09537287.2014.920545

Article Metrics

Abstract view(s): 760 time(s)
PDF: 700 time(s)

Refbacks

  • There are currently no refbacks.