This paper deals with short-term scheduling of the dairy industry. Two different approaches are proposed for obtaining the minimal makespan schedules. According to the first, S-graph framework is proposed to find the optimal solution of the flow-shop scheduling problem. The problem is solved by applying the branch and bound technique. The second approach uses the integer programming formulation of the scheduling problem and BASIC genetic algorithm has been used to solve the optimization problem. Both approaches take into consideration volumes of units assigned to perform tasks, and respective size factors that affect the size of batches and their number must be produces to achieve production goals and thus on the schedules duration. Manufac...
In this paper, a scheduling problem on a single machine producing dairy products subject to variable...
This paper considers a dairy industry problem on integrated planning and scheduling of set yoghurt p...
This work presents the development and application of an efficient solution strategy for the optimal...
This paper deals with short-term scheduling of the dairy industry. Two different approaches are prop...
In this work, a complete two-level framework for use in food and in particular dairy industries is p...
In this work, a continuous-time Mixed-Integer Linear Programming model (MILP) is developed for the s...
This work presents the application of a Mixed-Integer Linear Programming (MILP) model that was previ...
The lot-sizing and production scheduling problem in a multiproduct yogurt production line of a real-...
This paper presents the optimal batch scheduling of a multi-product dairy process using an approach ...
In the dairy processing, the rapid quality decay of milk-based intermediate mixture to make and pack...
Our work concerns the optimization problems resolution in scheduling production workshops, and more ...
The industry-specific characteristics of food-processing make production scheduling a hard and compl...
This dissertation is dedicated to the problems of optimal production scheduling in the batch chemica...
A new genetic algorithm coding is proposed in this paper to solve flowshop scheduling problems. To s...
The application of exact and heuristic optimization techniques to scheduling problems pertaining to ...
In this paper, a scheduling problem on a single machine producing dairy products subject to variable...
This paper considers a dairy industry problem on integrated planning and scheduling of set yoghurt p...
This work presents the development and application of an efficient solution strategy for the optimal...
This paper deals with short-term scheduling of the dairy industry. Two different approaches are prop...
In this work, a complete two-level framework for use in food and in particular dairy industries is p...
In this work, a continuous-time Mixed-Integer Linear Programming model (MILP) is developed for the s...
This work presents the application of a Mixed-Integer Linear Programming (MILP) model that was previ...
The lot-sizing and production scheduling problem in a multiproduct yogurt production line of a real-...
This paper presents the optimal batch scheduling of a multi-product dairy process using an approach ...
In the dairy processing, the rapid quality decay of milk-based intermediate mixture to make and pack...
Our work concerns the optimization problems resolution in scheduling production workshops, and more ...
The industry-specific characteristics of food-processing make production scheduling a hard and compl...
This dissertation is dedicated to the problems of optimal production scheduling in the batch chemica...
A new genetic algorithm coding is proposed in this paper to solve flowshop scheduling problems. To s...
The application of exact and heuristic optimization techniques to scheduling problems pertaining to ...
In this paper, a scheduling problem on a single machine producing dairy products subject to variable...
This paper considers a dairy industry problem on integrated planning and scheduling of set yoghurt p...
This work presents the development and application of an efficient solution strategy for the optimal...