A Multi-Objective Fuzzy Linear Programming Model for Cash Flow Management
نویسنده
چکیده
Although significant research work has been conducted on cash flow forecast, planning, and management, the objective is constantly the maximization of profit/final cash balance, or minimization of total project cost. This paper presents a multi-objective fuzzy linear programming model (FLP) for resolving the optimization problem of three conflicting objectives: final cash balance, cost of money, and initial cash balance. The proposed model depends on Jiang et al. (2011) Model. In the new formulation, both the advanced payment and delay of owner's progress payment one period were considered. Literature concerned with cash flow studies and models for construction projects was reviewed. Fuzzy linear programming applications in literature was presented and it's concept was then described. Jiang et al. (2011) Model is presented. The proposed model development was then presented. The proposed model was validated using an example project. An optimization of each individual objective was performed with a linear programming (LP) software (Lindo) that gave the upper and lower bounds for the multi-objective analysis. Fuzzy linear programming was then applied to optimize the solution. Four cases are considered: considering advanced payment and delay of owner's progress payment one period simultaneously, then separately, and neglecting advanced payment and delay of owner's progress payment. Penalty of delayed payment have been also considered. Analysis of the results revealed that the model is an effective decision making tool to be used by industry practitioners with reasonable accuracy.
منابع مشابه
A fuzzy multi-objective model for a project management problem
In this research, the multi-objective project management decision problem with fuzzy goals and fuzzy constraints are considered. We constitute α-cut approach and two various fuzzy goal programming solution methods for solving the Multi-Objective Project Management (MOPM) decision problem under fuzzy environments. The Interactive fuzzy multi-objective linear programming (i-FMOLP) and Weighted Ad...
متن کاملFuzzy Multi-Objective Linear Programming for Project Management Decision under Uncertain Environment with AHP Based Weighted Average Method
Smooth implementation and controlling conflicting goals of a project with the usage of all related resources through organization is inherently a complex task to management. At the same time deterministic models are never efficient in practical project management (PM) decision problems because the related parameters are frequently fuzzy in nature. The project execution time is a major concern o...
متن کاملA Chance Constrained Multiple Objective Goal Programming Model of Fuzzy QFD and FMEA: Model Development
There are varieties of QFD combination forms available that can help management to choose the right model for his/her types of problem. The proposed MOCC-QFD-FMEA model is a right model to include variety of objectives as well as the risk factors into the model of the problem. Due to the fact that the model also takes into consideration the concept of Fuzzy set, it further allows management...
متن کاملA fuzzy multi-objective linear programming approach for solving a new multi-objective job shop scheduling with sequence-dependent setup times
This paper presents a new mathematical model for a bi-objective job shop scheduling problem with sequence-dependent setup times that minimizes the weighted mean completion time and the weighted mean tardiness time. For solving this multi-objective model, we develop a fuzzy multi-objective linear programming (FMOLP) model. In this problem, a proposed FMOLP method is applied with respect to the o...
متن کاملA New Compromise Decision-making Model based on TOPSIS and VIKOR for Solving Multi-objective Large-scale Programming Problems with a Block Angular Structure under Uncertainty
This paper proposes a compromise model, based on a new method, to solve the multi-objective large-scale linear programming (MOLSLP) problems with block angular structure involving fuzzy parameters. The problem involves fuzzy parameters in the objective functions and constraints. In this compromise programming method, two concepts are considered simultaneously. First of them is that the optimal ...
متن کامل