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How to cite this paper
APA: Badri, S., Ghazanfari, M & Makui, A. (2014). An integrated model for product mix problem and scheduling considering overlapped operations. Decision Science Letters, 3(4), 523-534.
Chicago/Turabian: Badri, S., Ghazanfari, M & Makui, A. 2014. "An integrated model for product mix problem and scheduling considering overlapped operations." Decision Science Letters 3, no. 4 (2014): 523-534.
AMA: Badri, S., Ghazanfari, M & Makui, A. An integrated model for product mix problem and scheduling considering overlapped operations. Decision Science Letters. 2014;3(4):523-534.
References
Aryanezhad, M.B., & Komijan, A.R. (2004). An improved algorithm for optimizing product mix under the theory of constraints. International Journal of Production Research, 42(20), 4221–4233.
Aryanezhad, M.B., Badri, S.A., & Rashidi Komijan, A. (2010). Threshold-based method for elevating the system’s constraint under theory of constraints. International Journal of Production Research, 46(17), 5075–5087.
Azadegan, A., Porobic, L., Ghazinoory, S., Samouei, P., & Kheirkhah, A.S. (2011). Fuzzy logic in manufacturing: A review of literature and a specialized application. International Journal of Production Economics, 132(2), 258–270.
Badri, S.A., & Aryanezhad, M.B. (2011). A mathematical method for managing the system constraint. International Journal of Engineering-Transactions A: Basics, 24, 37–47.
Badri, S.A., & Ghazanfari, M. (2011). Solving the product mix problem using the harmony search algorithm. 4th International Conference of Iranian Operations Research Society, 774–775.
Badri, S.A., Ghazanfari, M., & Shahanaghi, K. (2014). A multi-criteria decision-making approach to solve the product mix problem with interval parameters based on the theory of constraints. The International Journal of Advanced Manufacturing Technology, 70(5-8), 1073–1080.
Bhattacharya, A., & Vasant, P. (2007). Soft-sensing of level of satisfaction in TOC product-mix decision heuristic using robust fuzzy-LP. European Journal of Operational Research, 177(1), 55–70.
Bhattacharya, A., Vasant, P., Sarkar, B., & Mukherjee, S.K. (2008). A fully fuzzified, intelligent theory-of-constraints product-mix decision. International Journal of Production Research, 46(3), 789–815.
Chaharsooghi, S.K., & Jafari, N. (2007). A simulated annealing approach for product mix decisions. Scientia Iraniaca, 14(3), 230–235.
Chellappa, B., & Manemaran, S.V. (2011). Multi attribute decision making approach to optimize the product mix in assignment problems using fuzzy group parameters. International Journal of Computer Applications, 26(11), 1–6.
Chung, S.H., Lee, A.H. & Pearn, W.L. (2005). Product mix optimization for semiconductor manufacturing based on AHP and ANP analysis. The International Journal of Advanced Manufacturing Technology, 25(11-12), 1144–1156.
de Souza, F.B., Sobreiro, V.A., Nagano, M.S., & de Souza Manfrinato, J.W. (2013). When less is better: Insights from the product mix dilemma from the Theory of Constraints perspective. International Journal of Production Research, 51(19), 5839–5852.
Finch, B.J., & Luebbe, R.L. (2000). Response to ‘Theory of constraints and linear programming: A re-examination’. International Journal of Production Research, 38(6), 1465–1466.
Fredendall L.D., & Lea, B.R. (1997). Improving the product mix heuristic in the theory of constraints. International Journal of Production Research, 35(6), 1535–1544.
Ghazinoory, S., Fattahi, P., & Samouei, P. (2012). A hybrid FRTOC-SA algorithm for product mix problems with fuzzy processing time and capacity. The International Journal of Advanced Manufacturing Technology, 65(9-12), 1363–1370.
Hasuike, T., & Ishii, H. (2008). Product mix problems considering several probabilistic conditions and flexibility of constraints. Computers & Industrial Engineering, 56(3), 918–936.
Hasuike, T., & Ishii, H. (2009). On flexible product-mix decision problems under randomness and fuzziness. Omega, 37( 4), 770–787.
Hsu, T.C., & Chung, S.H. (1998). The TOC-based algorithm for solving product mix problems. Production Planning & Control, 9(1), 36–46.
Karakas, E., Koyuncu, M., Erol, R., & Kokangul, A. (2010). Fuzzy programming for optimal product mix decisions based on expanded ABC approach. International Journal of Production Research, 48(3), 729–744.
Kaveh, M., Dalfard, V.M., & Karami, G. (2013). Extension of an algorithm for product mix problems with fuzzy conditions. Applied Mathematical Modelling, 37(23), 9688–9697.
Komijan, A.R., & Sadjadi, S.J. (2005). Optimizing product mix in a multi-bottleneck environment using group decision-making. In Computational Science and Its Applications–ICCSA 2005 (pp. 388-396). Springer Berlin Heidelberg.
Lee T.N., & Plenert, G. (1993). Optimizing theory of constraints when new product alternatives exist. Production and Inventory Management Journal, 34(3), 51–57.
Linhares, A. (2009). Theory of constraints and the combinatorial complexity of the product-mix decision. International Journal of Production Economics, 121(1), 121–129.
Luebbe, R., & Finch, B. (1992). Theory of constraints and linear programming: a comparison. International Journal of Production Research, 30(6), 1471–1478.
Mishra, N., Tiwari, M., Shankar, R., & Chan, F. (2005). Hybrid tabu-simulated annealing based approach to solve multi-constraint product mix decision problem. Expert Systems with Applications, 29(2), 446–454.
Nazari-Shirkouhi, S., Eivazy, H., Ghodsi, R., Rezaie, K., & Atashpaz-Gargari, E. (2010). Solving the integrated product mix-outsourcing problem using the Imperialist Competitive Algorithm. Expert Systems with Applications, 37(12), 7615–7626.
Onwubolu G.C., & Mutingi, M. (2001a). A genetic algorithm approach to the theory of constraints product mix problems. Production Planning & Control, 12(1), 21–27.
Onwubolu G.C., & Mutingi, M. (2001b). Optimizing the multiple constrained resources product mix problem using genetic algorithms. International Journal of Production Research, 39(9), 1897–1910.
Onwubolu, G.C. (2001). Tabu search-based algorithm for the TOC product mix decision. International Journal of Production Research, 39(10), 2065–2076.
Patterson, M.C. (1992). The product-mix decision: A comparison of Theory of Constraints and labor-based management accounting. Production and Inventory Management Journal, 33(3), 80–85.
Plenert, G. (1993). Optimizing theory of constraints when multiple constrained resources exist. European Journal of Operational Research, 70(1), 126–133.
Ray, A., Sarkar, B., & Sanyal, S.K. (2008). An improved theory of constraints. International Journal of Accounting and Information Management, 16(2), 155–165.
Ray, A., Sarkar, B., & Sanyal, S. (2010). The TOC-Based algorithm for solving multiple constraint resources. IEEE Transactions on Engineering Management, 57(2), 301–309.
Rezaie, K., Nazari-shirkouhi, S., & Ghodsi, R. (2010). Theory of constraints and particle swarm optimization approaches for product mix problem decision. Australian Journal of Basic and Applied Sciences, 4(12), 6483–6491.
Rezaie, K., Nazari-Shirkouhi, S., & Manouchehrabadi, B. (2009). Particle swarm pptimization algorithm based approach to solve Theory of Constraint product mix problem. In Developments in eSystems Engineering (DESE), 2009 Second International Conference on (pp. 439–442). IEEE.
Sobreiro, V.A., Mariano, E.B., & Nagano, M.S. (2013). Product mix: the approach of throughput per day. Production Planning & Control, (ahead-of-print), 1–13.
Sobreiro, V.A., & Nagano, M.S. (2012). A review and evaluation on constructive heuristics to optimise product mix based on the Theory of Constraints. International Journal of Production Research, 50(20), 5936–5948.
Spencer, M.S., & Cox, J.F. (1995). Master production scheduling development in a theory of constraints environment. Production and Inventory Management Journal, 36(1), 8–14.
Suharto, I., Susanto, S., Rosmiyanti, N.T., & Bhattacharya, A. (2008). Fuzzy multi-objective linear programming having probabilistic constraints: Application in product-mix decision-making. In Fuzzy Systems and Knowledge Discovery, 2008. FSKD & apos; 08. Fifth International Conference on (Vol. 4, pp. 652–656). IEEE.
Susanto, S., & Bhattacharya, A. (2011). Compromise fuzzy multi-objective linear programming (CFMOLP) heuristic for product-mix determination. Computers & Industrial Engineering, 61(3), 582–590.
Susanto, S., Rosmiyanti, N.T., Vasant, P., & Bhattacharya, A. (2007). Fuzzy multi-object linear programming application in product-mix decision-making. In Modelling & Simulation, 2007. AMS & apos; 07. First Asia International Conference on (pp. 552–555). IEEE.
Tanhaie, F., & Nahavandi, N. (2011). Considering decision maker ideas in product mix problems by goal programming In Industrial Engineering and Engineering Management (IEEM), 2011 IEEE International Conference on (pp. 1411–1415). IEEE.
Tanhaei, F., & Nahavandi, N. (2013). Algorithm for solving product mix problem in two-constraint resources environment. The International Journal of Advanced Manufacturing Technology, 64: 1161–1167.
Tsai, W.H., Lai, C.W., & Chang, J.C. (2007). An algorithm for optimizing joint products decision based on the Theory of Constraints. International Journal of Production Research, 45(15), 3421–3437.
Wang, J.Q., Sun, S.D., Si, S.B., & Yang, H. A. (2009). Theory of constraints product mix optimisation based on immune algorithm. International Journal of Production Research, 47(16), 4521–4543.
Wang, J.Q., Zhang, Z.T., Chen, J., Guo, Y.Z., Wang, S., Sun, S.D., Qu, T., & Huang, G.Q. (2014). The TOC-Based algorithm for solving multiple constraint resources: A re-examination. IEEE Transactions on Engineering Management, 61(1), 138–146.
Aryanezhad, M.B., Badri, S.A., & Rashidi Komijan, A. (2010). Threshold-based method for elevating the system’s constraint under theory of constraints. International Journal of Production Research, 46(17), 5075–5087.
Azadegan, A., Porobic, L., Ghazinoory, S., Samouei, P., & Kheirkhah, A.S. (2011). Fuzzy logic in manufacturing: A review of literature and a specialized application. International Journal of Production Economics, 132(2), 258–270.
Badri, S.A., & Aryanezhad, M.B. (2011). A mathematical method for managing the system constraint. International Journal of Engineering-Transactions A: Basics, 24, 37–47.
Badri, S.A., & Ghazanfari, M. (2011). Solving the product mix problem using the harmony search algorithm. 4th International Conference of Iranian Operations Research Society, 774–775.
Badri, S.A., Ghazanfari, M., & Shahanaghi, K. (2014). A multi-criteria decision-making approach to solve the product mix problem with interval parameters based on the theory of constraints. The International Journal of Advanced Manufacturing Technology, 70(5-8), 1073–1080.
Bhattacharya, A., & Vasant, P. (2007). Soft-sensing of level of satisfaction in TOC product-mix decision heuristic using robust fuzzy-LP. European Journal of Operational Research, 177(1), 55–70.
Bhattacharya, A., Vasant, P., Sarkar, B., & Mukherjee, S.K. (2008). A fully fuzzified, intelligent theory-of-constraints product-mix decision. International Journal of Production Research, 46(3), 789–815.
Chaharsooghi, S.K., & Jafari, N. (2007). A simulated annealing approach for product mix decisions. Scientia Iraniaca, 14(3), 230–235.
Chellappa, B., & Manemaran, S.V. (2011). Multi attribute decision making approach to optimize the product mix in assignment problems using fuzzy group parameters. International Journal of Computer Applications, 26(11), 1–6.
Chung, S.H., Lee, A.H. & Pearn, W.L. (2005). Product mix optimization for semiconductor manufacturing based on AHP and ANP analysis. The International Journal of Advanced Manufacturing Technology, 25(11-12), 1144–1156.
de Souza, F.B., Sobreiro, V.A., Nagano, M.S., & de Souza Manfrinato, J.W. (2013). When less is better: Insights from the product mix dilemma from the Theory of Constraints perspective. International Journal of Production Research, 51(19), 5839–5852.
Finch, B.J., & Luebbe, R.L. (2000). Response to ‘Theory of constraints and linear programming: A re-examination’. International Journal of Production Research, 38(6), 1465–1466.
Fredendall L.D., & Lea, B.R. (1997). Improving the product mix heuristic in the theory of constraints. International Journal of Production Research, 35(6), 1535–1544.
Ghazinoory, S., Fattahi, P., & Samouei, P. (2012). A hybrid FRTOC-SA algorithm for product mix problems with fuzzy processing time and capacity. The International Journal of Advanced Manufacturing Technology, 65(9-12), 1363–1370.
Hasuike, T., & Ishii, H. (2008). Product mix problems considering several probabilistic conditions and flexibility of constraints. Computers & Industrial Engineering, 56(3), 918–936.
Hasuike, T., & Ishii, H. (2009). On flexible product-mix decision problems under randomness and fuzziness. Omega, 37( 4), 770–787.
Hsu, T.C., & Chung, S.H. (1998). The TOC-based algorithm for solving product mix problems. Production Planning & Control, 9(1), 36–46.
Karakas, E., Koyuncu, M., Erol, R., & Kokangul, A. (2010). Fuzzy programming for optimal product mix decisions based on expanded ABC approach. International Journal of Production Research, 48(3), 729–744.
Kaveh, M., Dalfard, V.M., & Karami, G. (2013). Extension of an algorithm for product mix problems with fuzzy conditions. Applied Mathematical Modelling, 37(23), 9688–9697.
Komijan, A.R., & Sadjadi, S.J. (2005). Optimizing product mix in a multi-bottleneck environment using group decision-making. In Computational Science and Its Applications–ICCSA 2005 (pp. 388-396). Springer Berlin Heidelberg.
Lee T.N., & Plenert, G. (1993). Optimizing theory of constraints when new product alternatives exist. Production and Inventory Management Journal, 34(3), 51–57.
Linhares, A. (2009). Theory of constraints and the combinatorial complexity of the product-mix decision. International Journal of Production Economics, 121(1), 121–129.
Luebbe, R., & Finch, B. (1992). Theory of constraints and linear programming: a comparison. International Journal of Production Research, 30(6), 1471–1478.
Mishra, N., Tiwari, M., Shankar, R., & Chan, F. (2005). Hybrid tabu-simulated annealing based approach to solve multi-constraint product mix decision problem. Expert Systems with Applications, 29(2), 446–454.
Nazari-Shirkouhi, S., Eivazy, H., Ghodsi, R., Rezaie, K., & Atashpaz-Gargari, E. (2010). Solving the integrated product mix-outsourcing problem using the Imperialist Competitive Algorithm. Expert Systems with Applications, 37(12), 7615–7626.
Onwubolu G.C., & Mutingi, M. (2001a). A genetic algorithm approach to the theory of constraints product mix problems. Production Planning & Control, 12(1), 21–27.
Onwubolu G.C., & Mutingi, M. (2001b). Optimizing the multiple constrained resources product mix problem using genetic algorithms. International Journal of Production Research, 39(9), 1897–1910.
Onwubolu, G.C. (2001). Tabu search-based algorithm for the TOC product mix decision. International Journal of Production Research, 39(10), 2065–2076.
Patterson, M.C. (1992). The product-mix decision: A comparison of Theory of Constraints and labor-based management accounting. Production and Inventory Management Journal, 33(3), 80–85.
Plenert, G. (1993). Optimizing theory of constraints when multiple constrained resources exist. European Journal of Operational Research, 70(1), 126–133.
Ray, A., Sarkar, B., & Sanyal, S.K. (2008). An improved theory of constraints. International Journal of Accounting and Information Management, 16(2), 155–165.
Ray, A., Sarkar, B., & Sanyal, S. (2010). The TOC-Based algorithm for solving multiple constraint resources. IEEE Transactions on Engineering Management, 57(2), 301–309.
Rezaie, K., Nazari-shirkouhi, S., & Ghodsi, R. (2010). Theory of constraints and particle swarm optimization approaches for product mix problem decision. Australian Journal of Basic and Applied Sciences, 4(12), 6483–6491.
Rezaie, K., Nazari-Shirkouhi, S., & Manouchehrabadi, B. (2009). Particle swarm pptimization algorithm based approach to solve Theory of Constraint product mix problem. In Developments in eSystems Engineering (DESE), 2009 Second International Conference on (pp. 439–442). IEEE.
Sobreiro, V.A., Mariano, E.B., & Nagano, M.S. (2013). Product mix: the approach of throughput per day. Production Planning & Control, (ahead-of-print), 1–13.
Sobreiro, V.A., & Nagano, M.S. (2012). A review and evaluation on constructive heuristics to optimise product mix based on the Theory of Constraints. International Journal of Production Research, 50(20), 5936–5948.
Spencer, M.S., & Cox, J.F. (1995). Master production scheduling development in a theory of constraints environment. Production and Inventory Management Journal, 36(1), 8–14.
Suharto, I., Susanto, S., Rosmiyanti, N.T., & Bhattacharya, A. (2008). Fuzzy multi-objective linear programming having probabilistic constraints: Application in product-mix decision-making. In Fuzzy Systems and Knowledge Discovery, 2008. FSKD & apos; 08. Fifth International Conference on (Vol. 4, pp. 652–656). IEEE.
Susanto, S., & Bhattacharya, A. (2011). Compromise fuzzy multi-objective linear programming (CFMOLP) heuristic for product-mix determination. Computers & Industrial Engineering, 61(3), 582–590.
Susanto, S., Rosmiyanti, N.T., Vasant, P., & Bhattacharya, A. (2007). Fuzzy multi-object linear programming application in product-mix decision-making. In Modelling & Simulation, 2007. AMS & apos; 07. First Asia International Conference on (pp. 552–555). IEEE.
Tanhaie, F., & Nahavandi, N. (2011). Considering decision maker ideas in product mix problems by goal programming In Industrial Engineering and Engineering Management (IEEM), 2011 IEEE International Conference on (pp. 1411–1415). IEEE.
Tanhaei, F., & Nahavandi, N. (2013). Algorithm for solving product mix problem in two-constraint resources environment. The International Journal of Advanced Manufacturing Technology, 64: 1161–1167.
Tsai, W.H., Lai, C.W., & Chang, J.C. (2007). An algorithm for optimizing joint products decision based on the Theory of Constraints. International Journal of Production Research, 45(15), 3421–3437.
Wang, J.Q., Sun, S.D., Si, S.B., & Yang, H. A. (2009). Theory of constraints product mix optimisation based on immune algorithm. International Journal of Production Research, 47(16), 4521–4543.
Wang, J.Q., Zhang, Z.T., Chen, J., Guo, Y.Z., Wang, S., Sun, S.D., Qu, T., & Huang, G.Q. (2014). The TOC-Based algorithm for solving multiple constraint resources: A re-examination. IEEE Transactions on Engineering Management, 61(1), 138–146.