scholarly journals Location-inventory-routing model with considering urban road networks

2021 ◽  
Vol 14 (4) ◽  
pp. 830
Author(s):  
Nova Saragih ◽  
Senator Bahagia ◽  
Suprayogi Suprayogi ◽  
Ibnu Syabri
Keyword(s):  
Supply Chain ◽  
Food Supply ◽  
Road Networks ◽  
Inventory Routing ◽  
Food Supply Chain ◽  
Routing Problem ◽  
Problem Model ◽  
Total Cost ◽  
Traditional Markets ◽  
Effectiveness And Efficiency

Purpose: To develop LIRP (location-inventory-routing problem) model with considering multiple links and solve it using method of heuristic based on algorithm of simulated annealing. Method of heuristic for the LIRP model is applied in city of Jakarta to improve effectiveness and efficiency of the food supply chain.Design/methodology/approach: The LIRP model is developed using main references. To solve the model, this paper develops two methods, namely method of optimal and method of heuristic. Computational experiments are performed to obtain the efficiency of the method of heuristic. New design of food supply chain is resulted from the application of the method of heuristic in city of Jakarta.Findings: The new design of food supply chain resulted from the application of LIRP model in city of Jakarta reduces total cost by 18%, increases availability from 76% to 95%, and reduces the number of vehicles by 73%. This paper also shows that distance is not the only consideration to decide the traversed links in cities.Research limitations/implications: Average gap between method of heuristic and method of optimal in terms of total cost is 3.1%.Practical implications: Government of city of Jakarta can improve effectiveness and efficiency of the food supply chain by implementing the LIRP model.Social implications: Citizens of Jakarta are well provided with their needs of vegetables and fruits.Originality/value: The first LIRP model that considers multiple links to represent road networks in cities. The LIRP model developed in this paper consists of probabilistic demands, multi products, and multi echelons. Traditional markets, UCCs (urban consolidation centers) and province of suppliers are the places where decisions of inventory made.

scholarly journals A Hybrid Genetic-Simulated Annealing Algorithm for the Location-Inventory-Routing Problem Considering Returns under E-Supply Chain Environment

2013 ◽  
Vol 2013 ◽  
pp. 1-10 ◽  
Author(s):  
Yanhui Li ◽  
Hao Guo ◽  
Lin Wang ◽  
Jing Fu
Keyword(s):  
Supply Chain ◽  
Simulated Annealing ◽  
Simulated Annealing Algorithm ◽  
Inventory Routing ◽  
Logistics System ◽  
Routing Problem ◽  
Problem Model ◽  
Inventory Routing Problem ◽  
Genetic Simulated Annealing Algorithm ◽  
Annealing Algorithm

Facility location, inventory control, and vehicle routes scheduling are critical and highly related problems in the design of logistics system for e-business. Meanwhile, the return ratio in Internet sales was significantly higher than in the traditional business. Many of returned merchandise have no quality defects, which can reenter sales channels just after a simple repackaging process. Focusing on the existing problem in e-commerce logistics system, we formulate a location-inventory-routing problem model with no quality defects returns. To solve this NP-hard problem, an effective hybrid genetic simulated annealing algorithm (HGSAA) is proposed. Results of numerical examples show that HGSAA outperforms GA on computing time, optimal solution, and computing stability. The proposed model is very useful to help managers make the right decisions under e-supply chain environment.

scholarly journals BALANCE HALAL FOOD SUPPLY CHAIN: A MATHEMATICAL MODEL APPROACH FOR HALAL FOOD SUPPLY CHAIN SUSTAINABILITY

2018 ◽  
Vol 16 (1) ◽  
pp. 83
Author(s):  
Dwi Agustina Kurniawati
Keyword(s):  
Mathematical Model ◽  
Supply Chain ◽  
Food Supply ◽  
Transportation Costs ◽  
Supply Chain Optimization ◽  
Food Supply Chain ◽  
Total Cost ◽  
Distribution Strategy ◽  
Proposed Model ◽  
Halal Food

As the demand for halal food becomes raising and the supply of halal food is limited, it is required a strategy to optimize the halal food supply chain. The optimization of halal food supply chain can support its sustainability. Therefore, study about halal food supply chain optimization is required. This paper try to develop a mathematical model, entitled as Balance Halal Supply Chain (BHSC) model. This model propose a distribution strategy for halal food supply chain from limited halal slaughterhouses to several halal markets so as the total cost of distribution becomes minimize. It is assumed that all halal market demands must be fulfilled, so the lack ness cost becomes zero. The model try to fulfill all the halal market demands and minimize the oversupply and transportation costs. BHSC is modeled as MILP. Numerical experiment is performed to validate the model and it is solved by CPLEX Solver Version 12.6.3. Based on the experiment result, it is shown that the model can be used by halal supply chain decision maker as the decision making tool to design the best strategy for distributing the limited number of halal meat to many halal markets for its supply chain sustainability. The BHSC model can minimize the total cost of distribution that consists of oversupply and transportation costs, in the case of all halal market demands must be fulfilled. In conclusion, the proposed model becomes an alternative method to support the halal food supply chain sustainability.

scholarly journals Designing a food supply chain network under public-private community partnership on traditional Indonesia markets

2021 ◽  
Vol 9 (4) ◽  
pp. 841-850 ◽  
Author(s):  
Neneng Siti Maryam ◽  
Heru Nurasa ◽  
Muhammad Benny Alexandri ◽  
Yogi Suprayogi Sugandi
Keyword(s):  
Supply Chain ◽  
Food Supply ◽  
Strong Interactions ◽  
Community Partnership ◽  
Supply Chain Network ◽  
Competitive Strategies ◽  
Food Supply Chain ◽  
The Public ◽  
Traditional Markets ◽  
The Government

This study examines the effect of the performance of traders in the partnership relationship between the government, the private sector, and the community which is very necessary to build a food supply chain network in order to provide stimulation for the supporting factors and reduce the inhibiting factors for the success of the merchant's business, increase profits, and maintain food availability in traditional markets. This research was conducted at Andir Market, Bandung City, Indonesia. The research sample consisted of 100 Andir market traders. The research method used was a quantitative method with survey research that uses a questionnaire as the main instrument in data collection. The results of the analysis and discussion of the researchers have identified factors that can be used to strengthen the food supply chain network in the Public-Private-Community Partnership in traditional markets, namely management, empowerment, physical market conditions, and competitive strategies. Simultaneously, the four traders' performance factors have a significant effect on the food supply chain network with an R-square value of 0.658 (65.8%) with tcount greater than 1.96 or (3.817> 1.96). This means that if the changes that occur are good in the performance of traders, the food supply chain network in traditional markets will also be good, while the remaining 0.342 (34.2%) is explained by factors other than these variables. The expected implication is that the success of the supply chain network that is built due to strong interactions within the Public-Private-Community Partnership and other supply chain actors is able to face challenges during and after the pandemic. So that the quality of traditional market products, especially products that are quickly damaged or rotten, can be superior and well guaranteed for the food needs of people throughout Indonesia.

scholarly journals Green Inventory Routing Problem using Hybrid Genetic Algorithm

2021 ◽  
Vol 6 (4) ◽  
pp. 10-19
Author(s):  
Huda Zuhrah Ab Halim ◽  
Nureffa Natasha Mohd Azliana ◽  
Nuridawati Baharom ◽  
Nur Fatihah Fauzi ◽  
Nurizatul Syarfinas Ahmad Bakhtiar ◽  
...  
Keyword(s):  
Carbon Dioxide ◽  
Genetic Algorithm ◽  
Supply Chain ◽  
Fuel Consumption ◽  
Hybrid Genetic Algorithm ◽  
Inventory Routing ◽  
Routing Problem ◽  
Total Cost ◽  
Inventory Routing Problem ◽  
Consumption Cost

Carbon dioxide (CO2) is known as one of the largest sources of global warming. One of the ways to curb CO2 emissions is by considering the environmental aspect in the supply chain management. This paper analyses the influence of carbon emissions on the Inventory Routing Problem (IRP). The IRP network consists of a depot, an assembly plant and multiple suppliers. The deterministic demands vary and are determined by the assembly plant. Fixed transportation cost, fuel consumption cost and inventory holding cost are used to evaluate the system’s total cost in which fuel consumption cost is determined by fuel consumption rate, distance, and fuel price. Backordering and split pick-up are not allowed. The main purpose of this study is to analyze the distribution network especially the overall costs of the supply chain by considering the CO2 emissions as well. The problem is known as Green Inventory Routing Problem (GIRP). The mixed-integer linear programming of this problem is adopted from Cheng et al. wherein this study a different Hybrid Genetic Algorithm is proposed at mutation operator. As predicted, GIRP has a higher total cost as it considered fuel consumption cost together with the transportation and inventory costs. The results showed the algorithm led to different sequences of routings considering the carbon dioxide emission in the objective function.

Impact of modern Retail over Food Supply Chain Management

2012 ◽  
Vol 3 (1) ◽  
pp. 45-47
Author(s):  
N.Arunfred N.Arunfred ◽  
◽  
Dr.D.Kinslin Dr.D.Kinslin
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Food Supply ◽  
Food Supply Chain ◽  
Chain Management

Identifying Business-to-Business Unfair Trading Practices in the Food Supply Chain: The case of Cyprus

New Medit ◽  
2020 ◽  
Vol 19 (1) ◽  
pp. 19-34 ◽  
Author(s):  
Marinos Markou ◽  
Andreas Stylianou ◽  
Marianthi Giannakopoulou ◽  
Georgios Adamides
Keyword(s):  
Supply Chain ◽  
Food Supply ◽  
Small Businesses ◽  
State Level ◽  
Strategic Partnerships ◽  
Food Supply Chain ◽  
National Legislation ◽  
Food Supply Chains ◽  
Enforcement Policy ◽  
Monitoring And Enforcement

Unfair Trading Practices (UTPs) between businesses in the food supply chain have a significant impact on the various stakeholders involved, and on the environment. So far, no attempt has been made at the Member State level for the identification of UTPs in the food supply chain and their impact on the relevant stakeholders. This study drew on this gap and attempted to identify the UTPs that exist in the Cypriot food supply chain, assess their impact on the involved stakeholders and provide guidelines that will assist the transposition of EU relevant Directive to the national law. To achieve this goal, the study was based on a quantitative survey of a representative sample of businesses using a specific questionnaire. The results showed that particular UTPs do appear in the food supply chain with a different frequency, while the majority of businesses have been victims of UTPs in the last five years. Notably, the estimated cost of UTPs as a percentage of the business annual turnover is considered important ranging from 5.7% for retailers to 31.9% for farmers. Thus, most participants agree that UTPs in the agricultural food sector should be regulated by national legislation. We argue that the national legislation for UTPs should be a mix of policies that integrate private, administrative and judicial methods of monitoring and enforcement. Policy and decision makers should seek to reinforce the role and the bargaining power of small businesses in the food supply chain. This might be accomplished through the development of efficient producers’ organizations, short food supply chains, interbranch organizations and strategic partnerships.

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