How to cite this paper
Lotfi, R., Nayeri, M., Sajadifar, S & Mardani, N. (2017). Determination of start times and ordering plans for two-period projects with interdependent demand in project-oriented organizations: A case study on molding industry.Journal of Project Management, 2(4), 119-142.
Refrences
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Alwan, L. C., Xu, M., Yao, D. Q., & Yue, X. (2016). The dynamic newsvendor model with correlat-ed demand. Decision Sciences, 47(1), 11-30.
Behret, H., & Kahraman, C. (2010). A multi‐period newsvendor problem with pre‐season extension under fuzzy demand. Journal of Business Economics and Management, 11(4), 613-629.
Burnetas, A., Gilbert, S. M., & Smith, C. E. (2007). Quantity discounts in single-period supply con-tracts with asymmetric demand information. IIE Transactions, 39(5), 465-479.
Chen, S. P., & Ho, Y. H. (2011). Analysis of the newsboy problem with fuzzy demands and incre-mental discounts. International Journal of Production Economics, 129(1), 169-177.
Chen, S. P., & Ho, Y. H. (2013). Optimal inventory policy for the fuzzy newsboy problem with quan-tity discounts. Information Sciences, 228, 75-89.
Diabat, A. (2014). Hybrid algorithm for a vendor managed inventory system in a two-echelon supply chain. European Journal of Operational Research, 238(1), 114-121.
Ding, S., & Gao, Y. (2014). The (σ, S) policy for uncertain multi-product newsboy problem. Expert Systems with Applications, 41(8), 3769-3776.
Dye, C. Y., & Ouyang, L. Y. (2005). An EOQ model for perishable items under stock-dependent sell-ing rate and time-dependent partial backlogging. European Journal of Operational Research, 163(3), 776-783.
Geiger, M. J. (2017). A multi-threaded local search algorithm and computer implementation for the multi-mode, resource-constrained multi-project scheduling problem. European Journal of Opera-tional Research, 256(3), 729-741.
Geisler, M. A. (1963). A study of inventory theory. Management Science, 9(3), 490-497.
Ghaddar, B., Sakr, N., & Asiedu, Y. (2016). Spare parts stocking analysis using genetic programming. European Journal of Operational Research, 252(1), 136-144.
Hanasusanto, G. A., Kuhn, D., Wallace, S. W., & Zymler, S. (2015). Distributionally robust multi-item newsvendor problems with multimodal demand distributions. Mathematical Programming, 152(1-2), 1-32.
Holland, J. H. (1975). Adaptation in natural and artificial systems: an introductory analysis with ap-plications to biology, control, and artificial intelligence. U Michigan Press.
Huang, D., Zhou, H., & Zhao, Q. H. (2011). A competitive multiple-product newsboy problem with partial product substitution. Omega, 39(3), 302-312.
Jun, S., & Park, J. (2015). A hybrid genetic algorithm for the hybrid flow shop scheduling problem with nighttime work and simultaneous work constraints: A case study from the transformer indus-try. Expert Systems with Applications, 42(15), 6196-6204.
Kamburowski, J. (2014). The distribution-free newsboy problem under the worst-case and best-case scenarios. European Journal of Operational Research, 237(1), 106-112.
Kamburowski, J. (2015). The distribution‐free newsboy problem and the demand skew. International Transactions in Operational Research, 22(5), 929-946.
Lotfi, R., Amin Nayeri, M. (2016). Multi-objective capacitated facility location with hybrid fuzzy Simplex and genetic algorithm approach. Journal of Industrial Engineering Research in Production Systems, 4(7), 81-91.
Lotfi, R., Mehrjerdi, Y. Z., & Mardani, N. (2017). A multi-objective and multi-product advertising billboard location model with attraction factor mathematical modeling and solutions. International Journal of Applied Logistics, 7(1), 64-86.
Marinakis, Y., Marinaki, M., Doumpos, M., Matsatsinis, N., & Zopounidis, C. (2008). A hybrid sto-chastic genetic–GRASP algorithm for clustering analysis. Operational Research, 8(1), 33-46.
Matsuyama, K. (2006). The multi-period newsboy problem. European Journal of Operational Re-search, 171(1), 170-188.
Mousavi, S. M., Hajipour, V., Niaki, S. T. A., & Aalikar, N. (2014). A multi-product multi-period in-ventory control problem under inflation and discount: a parameter-tuned particle swarm optimiza-tion algorithm. The International Journal of Advanced Manufacturing Technology, 70(9-12), 1739-1756.
Okyay, H. K., Karaesmen, F., & Özekici, S. (2014). Newsvendor models with dependent random supply and demand. Optimization Letters, 8(3), 983-999.
Pal, B., Sana, S. S., & Chaudhuri, K. (2015). A distribution-free newsvendor problem with nonlinear holding cost. International Journal of Systems Science, 46(7), 1269-1277.
Perakis, G., & Sood, A. (2004). Competitive multi-period pricing with fixed inventories. High Per-formance Computation for Engineered Systems (HPCES)
Puga, M. S., & Tancrez, J. S. (2017). A heuristic algorithm for solving large location–inventory prob-lems with demand uncertainty. European Journal of Operational Research, 259(2), 413-423.
Qiongbing, Z., & Lixin, D. (2016). A new crossover mechanism for genetic algorithms with variable-length chromosomes for path optimization problems. Expert Systems with Applications, 60, 183-189.
Roy, S. K., & Mula, P. (2016). Solving matrix game with rough payoffs using genetic algorithm. Op-erational Research, 16(1), 117-130.
Sana, S. S. (2012). Price sensitive demand with random sales price–a newsboy problem. International Journal of Systems Science, 43(3), 491-498.
Singh, S., Kumar, K., Bhattacharya, A., & Rai, H. (2016). Estimating and testing the significance of correlation coefficient obtained from truncated bivariate normal distribution. Journal of Interdisci-plinary Mathematics, 19(2), 245-251.
Sivanandam, S. N., & Deepa, S. N. (2007). Introduction to genetic algorithms. Springer Science & Business Media.
Tran, K. P., Castagliola, P., & Celano, G. (2016). Monitoring the ratio of population means of a biva-riate normal distribution using CUSUM type control charts. Statistical Papers, 1-27.
Wang, C. X., & Webster, S. (2009). The loss-averse newsvendor problem. Omega, 37(1), 93-105.
Willoughby, K. A. (1998). Modelling assistance for project procurement and disposal decisions. Uni-versity of Calgary.
Yuan, J. J., Cheng, T. E., & Ng, C. T. (2007). NP-hardness of the single-variable-resource scheduling problem to minimize the total weighted completion time. European Journal of Operational Re-search, 178(2), 631-633.
Zhang, B., & Du, S. (2010). Multi-product newsboy problem with limited capacity and outsourcing. European Journal of Operational Research, 202(1), 107-113.
Zhang, B., & Hua, Z. (2010). A portfolio approach to multi-product newsboy problem with budget constraint. Computers & Industrial Engineering, 58(4), 759-765.
Zhang, G. (2010). The multi-product newsboy problem with supplier quantity discounts and a budget constraint. European Journal of Operational Research, 206(2), 350-360.
Alwan, L. C., Xu, M., Yao, D. Q., & Yue, X. (2016). The dynamic newsvendor model with correlat-ed demand. Decision Sciences, 47(1), 11-30.
Behret, H., & Kahraman, C. (2010). A multi‐period newsvendor problem with pre‐season extension under fuzzy demand. Journal of Business Economics and Management, 11(4), 613-629.
Burnetas, A., Gilbert, S. M., & Smith, C. E. (2007). Quantity discounts in single-period supply con-tracts with asymmetric demand information. IIE Transactions, 39(5), 465-479.
Chen, S. P., & Ho, Y. H. (2011). Analysis of the newsboy problem with fuzzy demands and incre-mental discounts. International Journal of Production Economics, 129(1), 169-177.
Chen, S. P., & Ho, Y. H. (2013). Optimal inventory policy for the fuzzy newsboy problem with quan-tity discounts. Information Sciences, 228, 75-89.
Diabat, A. (2014). Hybrid algorithm for a vendor managed inventory system in a two-echelon supply chain. European Journal of Operational Research, 238(1), 114-121.
Ding, S., & Gao, Y. (2014). The (σ, S) policy for uncertain multi-product newsboy problem. Expert Systems with Applications, 41(8), 3769-3776.
Dye, C. Y., & Ouyang, L. Y. (2005). An EOQ model for perishable items under stock-dependent sell-ing rate and time-dependent partial backlogging. European Journal of Operational Research, 163(3), 776-783.
Geiger, M. J. (2017). A multi-threaded local search algorithm and computer implementation for the multi-mode, resource-constrained multi-project scheduling problem. European Journal of Opera-tional Research, 256(3), 729-741.
Geisler, M. A. (1963). A study of inventory theory. Management Science, 9(3), 490-497.
Ghaddar, B., Sakr, N., & Asiedu, Y. (2016). Spare parts stocking analysis using genetic programming. European Journal of Operational Research, 252(1), 136-144.
Hanasusanto, G. A., Kuhn, D., Wallace, S. W., & Zymler, S. (2015). Distributionally robust multi-item newsvendor problems with multimodal demand distributions. Mathematical Programming, 152(1-2), 1-32.
Holland, J. H. (1975). Adaptation in natural and artificial systems: an introductory analysis with ap-plications to biology, control, and artificial intelligence. U Michigan Press.
Huang, D., Zhou, H., & Zhao, Q. H. (2011). A competitive multiple-product newsboy problem with partial product substitution. Omega, 39(3), 302-312.
Jun, S., & Park, J. (2015). A hybrid genetic algorithm for the hybrid flow shop scheduling problem with nighttime work and simultaneous work constraints: A case study from the transformer indus-try. Expert Systems with Applications, 42(15), 6196-6204.
Kamburowski, J. (2014). The distribution-free newsboy problem under the worst-case and best-case scenarios. European Journal of Operational Research, 237(1), 106-112.
Kamburowski, J. (2015). The distribution‐free newsboy problem and the demand skew. International Transactions in Operational Research, 22(5), 929-946.
Lotfi, R., Amin Nayeri, M. (2016). Multi-objective capacitated facility location with hybrid fuzzy Simplex and genetic algorithm approach. Journal of Industrial Engineering Research in Production Systems, 4(7), 81-91.
Lotfi, R., Mehrjerdi, Y. Z., & Mardani, N. (2017). A multi-objective and multi-product advertising billboard location model with attraction factor mathematical modeling and solutions. International Journal of Applied Logistics, 7(1), 64-86.
Marinakis, Y., Marinaki, M., Doumpos, M., Matsatsinis, N., & Zopounidis, C. (2008). A hybrid sto-chastic genetic–GRASP algorithm for clustering analysis. Operational Research, 8(1), 33-46.
Matsuyama, K. (2006). The multi-period newsboy problem. European Journal of Operational Re-search, 171(1), 170-188.
Mousavi, S. M., Hajipour, V., Niaki, S. T. A., & Aalikar, N. (2014). A multi-product multi-period in-ventory control problem under inflation and discount: a parameter-tuned particle swarm optimiza-tion algorithm. The International Journal of Advanced Manufacturing Technology, 70(9-12), 1739-1756.
Okyay, H. K., Karaesmen, F., & Özekici, S. (2014). Newsvendor models with dependent random supply and demand. Optimization Letters, 8(3), 983-999.
Pal, B., Sana, S. S., & Chaudhuri, K. (2015). A distribution-free newsvendor problem with nonlinear holding cost. International Journal of Systems Science, 46(7), 1269-1277.
Perakis, G., & Sood, A. (2004). Competitive multi-period pricing with fixed inventories. High Per-formance Computation for Engineered Systems (HPCES)
Puga, M. S., & Tancrez, J. S. (2017). A heuristic algorithm for solving large location–inventory prob-lems with demand uncertainty. European Journal of Operational Research, 259(2), 413-423.
Qiongbing, Z., & Lixin, D. (2016). A new crossover mechanism for genetic algorithms with variable-length chromosomes for path optimization problems. Expert Systems with Applications, 60, 183-189.
Roy, S. K., & Mula, P. (2016). Solving matrix game with rough payoffs using genetic algorithm. Op-erational Research, 16(1), 117-130.
Sana, S. S. (2012). Price sensitive demand with random sales price–a newsboy problem. International Journal of Systems Science, 43(3), 491-498.
Singh, S., Kumar, K., Bhattacharya, A., & Rai, H. (2016). Estimating and testing the significance of correlation coefficient obtained from truncated bivariate normal distribution. Journal of Interdisci-plinary Mathematics, 19(2), 245-251.
Sivanandam, S. N., & Deepa, S. N. (2007). Introduction to genetic algorithms. Springer Science & Business Media.
Tran, K. P., Castagliola, P., & Celano, G. (2016). Monitoring the ratio of population means of a biva-riate normal distribution using CUSUM type control charts. Statistical Papers, 1-27.
Wang, C. X., & Webster, S. (2009). The loss-averse newsvendor problem. Omega, 37(1), 93-105.
Willoughby, K. A. (1998). Modelling assistance for project procurement and disposal decisions. Uni-versity of Calgary.
Yuan, J. J., Cheng, T. E., & Ng, C. T. (2007). NP-hardness of the single-variable-resource scheduling problem to minimize the total weighted completion time. European Journal of Operational Re-search, 178(2), 631-633.
Zhang, B., & Du, S. (2010). Multi-product newsboy problem with limited capacity and outsourcing. European Journal of Operational Research, 202(1), 107-113.
Zhang, B., & Hua, Z. (2010). A portfolio approach to multi-product newsboy problem with budget constraint. Computers & Industrial Engineering, 58(4), 759-765.
Zhang, G. (2010). The multi-product newsboy problem with supplier quantity discounts and a budget constraint. European Journal of Operational Research, 206(2), 350-360.