scholarly journals Optimizing Production And Distribution With Distribution Route Management On Perishable Products

2021 ◽  
Vol 1122 (1) ◽  
pp. 012030
Author(s):  
A.F. Akbar ◽  
Tulus ◽  
Sawaluddin
2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
S. M. Seyedhosseini ◽  
S. M. Ghoreyshi

In many conventional supply chains, production planning and distribution planning are treated separately. However, it is now demonstrated that they are mutually related problems that must be tackled in an integrated way. Hence, in this paper a new integrated production and distribution planning model for perishable products is formulated. The proposed model considers a supply chain network consisting of a production facility and multiple distribution centers. The facility produces a single perishable product that is storable only for predetermined periods. A homogenous fleet of vehicles is responsible for delivering the product from facility to distribution centers. The decisions to be made are the production quantities, the distribution centers that must be visited, and the quantities to be delivered to them. The objective is to minimize the total cost, where the trip minimization is considered simultaneously. As the proposed formulation is computationally complex, a heuristic method is developed to tackle the problem. In the developed method, the problem is divided into production submodel and distribution submodel. The production submodel is solved using LINGO, and a particle swarm heuristic is developed to tackle distribution submodel. Efficiency of the algorithm is proved through a number of randomly generated test problems.


Mathematics ◽  
2020 ◽  
Vol 8 (2) ◽  
pp. 146 ◽  
Author(s):  
Ling Liu ◽  
Sen Liu

In this paper, an integrated production and distribution problem for perishable products is presented, which is an NP hard problem where a single machine, multi-customers, and homogenous vehicles with capacity constraints are considered. The objective is to minimize the total order weighted delivery time to measure the customer service level, by making two interacted decisions, production scheduling and vehicle routing, simultaneously. An integrated mathematical model is built, and the validity is measured by the linear programming software CPLEX by solving the small-size instances. An improved large neighborhood search algorithm is designed to address the problem. Firstly, a two-stage algorithm is constructed to generate the initial solution, which determines the order production sequence according to the given vehicle routing. Secondly, several removal/insertion heuristics are applied to enlarge the search space of neighbor solutions. Then, a local search algorithm is designed to improve the neighbor solutions, which further generates more chances to find the optimal solution. For comparison purposes, a genetic algorithm developed in a related problem is employed to solve this problem. The computational results show that the proposed improved large neighborhood search algorithm can provide higher quality solutions than the genetic algorithm.


Liquidity ◽  
2018 ◽  
Vol 1 (2) ◽  
pp. 142-152
Author(s):  
Mukhaer Pakkanna

Political democracy should be equivalent to the economic development of the quality of democracy, economic democracy if not upright, even the owner of the ruling power and money, which is parallel to force global corporatocracy. Consequently, the economic oligarchy preservation reinforces control of production and distribution from upstream to downstream and power monopoly of the market. The implication, increasingly sharp economic disparities, exclusive owner of the money and power become fertile, and the end could jeopardize the harmony of the national economy. The loss of national economic identity that makes people feel lost the “pilot of the state”. What happens then is the autopilot state. Viewing unclear direction of the economy, the national economy should clarify the true figure.


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