TY - JOUR ID - 60777 TI - Project resource investment problem under progress payment model JO - Journal of Industrial and Systems Engineering JA - JISE LA - en SN - 1735-8272 AU - Najafi, Amir Abbas AU - Merrikhi, Elham AU - Shahsavar, Aria AD - k.n.toosi university AD - Research School of Management, Australian National University, Canberra, Australia AD - Faculty of Industrial and Mechanical Engineering, Islamic Azad University, Qazvin Branch, Qazvin, Iran Y1 - 2018 PY - 2018 VL - 11 IS - 3 SP - 84 EP - 101 KW - Project scheduling KW - resource investment KW - Net Present Value KW - progress payment DO - N2 - As a general branch of project scheduling problems, resource investment problem (RIP) considers resource availabilities as decision variables to determine a level of employed resources minimizing the costs of the project. In addition to costs (cash outflows), researchers in the later extensions of the RIP took payments (cash inflows) received from clients into account and used the net present value (NPV) of project cash flows as a financial criterion evaluating the profitability of the project. A striking point in a financial view of the project scheduling is how cash inflows are paid by the client. There are different payment models in the literature of which progress payment is highly common in practice. In this paper, resource investment problem with maximization of the NPV under progress payment model is investigated. A new mathematical model is developed for the problem and then two metaheuristic algorithms based on the genetic algorithm (GA) and simulated annealing algorithm (SA) are suggested. The experimental results of algorithms are compared with some near-optimal solutions derived from LINGO software. The comparisons show that the results of GA are more reliable than SA. UR - https://www.jise.ir/article_60777.html L1 - https://www.jise.ir/article_60777_6b142472e103f3b2067eed9a7878fc1c.pdf ER -