Staff Scheduling Problem by means of Optimization Algorithms
نویسنده
چکیده
Our application is placed in the domain of automatic generation of timetables. The generation of timetables is the assignment of employees to tasks in the goal of schedule during one fixed period, in general a week. This problem is by its nature a complex problem which requires the resolution of many constraints. Indeed, the SSP are usually addressed to the organization where a set of tasks must be achieved by a group of employees having their own qualifications, constraints and preferences. The organization imposes total regulations and tries to carry out such total objectives them such as the reduction of the total cost or the equitable division of the load of work between the employees. Research in this field gave place to several conference. The results resulting often are adapted to particular professional sectors. In this paper, we propose a general solution not depending on particular sector.
منابع مشابه
Optimization of a Bi-objective Scheduling for Two Groups of Experienced and Inexperienced Distribution Staff Based on Capillary Marketing
Developing an appropriate plan for distribution department is significant because of its influence on company's other costs and customers' satisfaction. In this study, a new bi-objective mix-integer linear programming model developed for scheduling two groups of experienced and inexperienced distribution staff based on capillary marketingin Pak Pasteurized Dairy Products Company of Guilan provi...
متن کاملStaff Scheduling by a Genetic Algorithm
This paper describes a Genetic Algorithms approach to amanpower-scheduling problem arising at a Petrochemical Company. AlthoughGenetic Algorithms have been successfully used for similar problemsin the past, they always had to overcome the limitations of theclassical Genetic Algorithms paradigm in handling the conflict betweenobjectives and constraints. The approach taken here is to use an indir...
متن کاملَA Multi-objective simulated annealing algorithm to solving flexible no-wait flowshop scheduling problems with transportation times
This paper deals with a bi-objective hybrid no-wait flowshop scheduling problem minimizing the makespan and total weighted tardiness, in which we consider transportation times between stages. Obtaining an optimal solution for this type of complex, large-sized problem in reasonable computational time by using traditional approaches and optimization tools is extremely difficult. This paper presen...
متن کاملNew Approaches in Metaheuristics to Solve the Truck Scheduling Problem in a Cross-docking Center
Nowadays, cross-docking is one of the main concepts in supply chain management in which products received to a distribution center by inbound trucks which are directly to lead into outbound trucks with a minimum handling and storage costs as the main cost of a cross-docking system. According to the literature, several metaheuristics and heuristics are attempted to solve this optimization model....
متن کاملGENETIC AND TABU SEARCH ALGORITHMS FOR THE SINGLE MACHINE SCHEDULING PROBLEM WITH SEQUENCE-DEPENDENT SET-UP TIMES AND DETERIORATING JOBS
This paper introduces the effects of job deterioration and sequence dependent set- up time in a single machine scheduling problem. The considered optimization criterion is the minimization of the makespan (Cmax). For this purpose, after formulating the mathematical model, genetic and tabu search algorithms were developed for the problem. Since population diversity is a very important issue in ...
متن کاملA multi-objective resource-constrained optimization of time-cost trade-off problems in scheduling project
This paper presents a multi-objective resource-constrained project scheduling problem with positive and negative cash flows. The net present value (NPV) maximization and making span minimization are this study objectives. And since this problem is considered as complex optimization in NP-Hard context, we present a mathematical model for the given problem and solve three evolutionary algorithms;...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2011