scholarly journals Optimization of sustainability, selling price, and minimum cost transportation in supply chain management of free-range meat chicken in Pasuruan Regency, Indonesia

Food Research ◽  
2020 ◽  
Vol 5 (1) ◽  
pp. 50-56
Author(s):  
N. Nuriyanto ◽  
I. Santoso ◽  
S. Soemarno ◽  
E.R. Lestari
Keyword(s):  
Neural Networks ◽  
Linear Programming ◽  
Artificial Neural Networks ◽  
Minimum Cost ◽  
Transportation Cost ◽  
Selling Price ◽  
Chain Management ◽  
Total Cost ◽  
Free Range ◽  
Cost Of Transportation

The purpose of the study was to analyze the sustainability of supply of free-range meat chicken in Pasuruan Regency, Indonesia and to obtain an optimization model of selling price and transportation costs of the free-range meat chicken. Artificial neural networks was used to analyse the sustainability of free-range meat chicken supply while linear programming was used to optimize the selling price. In addition, Vogel’s approximation was used to obtain the minimum total cost of transportation. The outcome of the analysis showed that the availability of free-range meat chicken in 2022 was estimated around 40, 016.67 tons with a selling price of IDR 28,100/kg. The minimum overall transportation cost was IDR 3,807,000/quintal.

scholarly journals Multiobjective Scheduling of Remote-Area Employees with Minimum Cost of Transportation

2014 ◽  
Vol 2014 ◽  
pp. 1-11
Author(s):  
Hesham K. Alfares
Keyword(s):  
Programming Model ◽  
Optimal Solution ◽  
Minimum Cost ◽  
Transportation Cost ◽  
Solution Procedure ◽  
Primary Objective ◽  
Remote Work ◽  
Optimal Procedures ◽  
Oil Company ◽  
Cost Of Transportation

An integer programming model and optimal solution procedure are presented for assigning employees to the (10, 14) days-off schedule. This schedule is used by a large oil company to schedule employees in remote work locations. The primary objective is to minimize the total number of employees. Since employees are flown to their remote work sites, the company also aims to minimize transportation cost. Therefore, secondary objectives include (1) minimizing the number of active days-off work patterns, (2) consistently using the same set of active days-off patterns, (3) assigning work schedules fairly among employees, and (4) avoiding the use of specialized optimization solvers. A rotation schedule is used in which two scheduling rules are enforced: a minimum proportion of weekend days off needs to be given and a maximum limit on the number of successive workdays cannot be exceeded. Utilizing the problem structure, simple optimal procedures are developed to solve this unique complex scheduling problem.

A Humanitarian Green Supply Chain Management Considering Minimum Cost and Time

2021 ◽  
Vol 8 (2) ◽  
pp. 63-82
Author(s):  
Dipanjana Sengupta ◽  
Amrit Das ◽  
Uttam Kumar Bera ◽  
Anirban Dutta
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Solution Method ◽  
Real Life ◽  
Optimal Solution ◽  
Minimum Cost ◽  
Transportation Cost ◽  
Chain Management ◽  
Green Transportation ◽  
Humanitarian Supply Chain

Disaster is the sudden problem of the world. There is no time bound. By disaster, all the creatures of the earth are affected. Here, the authors have tried to show some issues which are related to the natural calamities and green transportation. The main investigation of the paper is to describe about humanitarian supply chain management with optimized transportation cost, time, and carbon emission. Here a real-life problem of flood affected area has been chosen. When such disasters happen, quick response can reduce the devastation and save lives, and thus, it requires fulfilling the basic humanitarian needs of the affected population. In such case, organizations should also maintain the emission of the vehicles in safe range to mitigate the further disaster by pollution. A multi-objective solid transportation problem considering cost, time, and emission has been presented here. To solve the problem, this paper has used goal programming method and pareto optimal solution method. A comparison of results is also shown later. Some managerial insights are drawn to describe the situation.

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