scholarly journals Warehouse redesigning in a three-echelon supply chain network with consideration of routing under uncertainty

2019 ◽  
Author(s):  
Zahra Azadehranjbar ◽  
Ali Bozorgi-Amiri ◽  
Arash Zandi
Keyword(s):  
Sensitivity Analysis ◽  
Supply Chain ◽  
Supply Chains ◽  
Production Capacity ◽  
Supply Chain Network ◽  
Split Delivery ◽  
Robust Approach ◽  
Simulation Procedure ◽  
Proposed Model

This paper addresses the problem of redesigning a three-echelon supply chain network under uncertainty. Since one of the most realistic problems that supply chains are dealt with is routing of vehicles, routing constraints with a split delivery condition are considered in our proposed model. Also, the possibility of outsourcing is considered in order to satisfy demands that exceed the production capacity. Furthermore, in order to deal with the presence of uncertainty in the problem, a light robust approach is developed. The performance of the proposed model is illustrated using a simulation procedure. Sensitivity analysis on the proposed model is also presented in the paper. The results show that the proposed method has a better performance than Light Robust approach and can be used as a useful managerial tool in redesign problems.

scholarly journals COVID-19 Disruption Strategy for Redesigning Global Supply Chain Network across TPP Countries

Logistics ◽  
2021 ◽  
Vol 6 (1) ◽  
pp. 2
Author(s):  
Takaki Nagao ◽  
Hiromasa Ijuin ◽  
Tetsuo Yamada ◽  
Keisuke Nagasawa ◽  
Lei Zhou
Keyword(s):  
Sensitivity Analysis ◽  
Supply Chain ◽  
Integer Programming ◽  
Supply Chains ◽  
Positive Impact ◽  
Cost Minimization ◽  
Global Supply Chain ◽  
Supply Chain Network ◽  
Structural Effects ◽  
The Impact

Background: COVID-19 has disrupted and adversely affected supply chains worldwide. A global supply chain network that considers disruptions is needed. This study strategically analyzes the economic and structural effects of disruption on a global supply chain network with customs duty and the trans-pacific partnership (TPP) agreement. Methods: We present a cost minimization model which helps in understanding the difficulty of supplying materials or products to factories or customers if the supplier’s cities are facing disruption. This enables us to model and evaluate simultaneous considerations of supplier disruption, customs duty, and TPP in redesigning a global supply chain network. This network is modeled and formulated using integer programming, disruption scenarios, and a sensitivity analysis for customs duty. Results: Regarding the impact of disruptions on suppliers, two patterns emerge in the reconfigured network: direct changes due to supplier disruptions and indirect changes due to factory relocation. The sensitivity analysis for customs duty shows that the TPP has a positive impact on cost maintained, even in the presence of disruptions. Conclusions: Suppliers should be switched depending on the scale of disruption; when many distant suppliers need to be switched, the factory should be relocated to the country where these suppliers are located.

Supply Chain Network Design of Ethanol in Thailand

2015 ◽  
Vol 781 ◽  
pp. 647-650
Author(s):  
Rojanee Homchalee ◽  
Weerapat Sessomboon
Keyword(s):  
Supply Chain ◽  
Production Capacity ◽  
Supply Chain Network Design ◽  
Supply Chain Network ◽  
Allocation Model ◽  
Total Cost ◽  
Location Allocation ◽  
Proposed Model ◽  
Direct Distribution

The proposed model is location-allocation model developed to design and manage the plants-to-customers ethanol supply chain in Thailand with the objective to minimize the total cost. The results showed that Thailand should have only one ethanol export depot and central depot located along wharfs in Samut Prakan province and along the highway in Non Sung district, Nakhon Ratchasima province, respectively. This model also provided the solutions on opening and expanding of production capacity of ethanol plants over time and appropriate ethanol allocation both of direct distribution and through the central depot for long term (2012-2021).

A new transshipment policy in cluster supply chains based on system dynamics

2018 ◽  
Vol 52 (1) ◽  
pp. 1-15 ◽  
Author(s):  
Bo Yan ◽  
Lifeng Liu
Keyword(s):  
Supply Chain ◽  
System Dynamics ◽  
Supply Chains ◽  
Industrial Cluster ◽  
Inventory Level ◽  
Network System ◽  
Supply Chain Network ◽  
Proposed Model ◽  
Total Inventory ◽  
The Cross

In this paper, the cross-chain inventory emergency supplementary of two single supply chains is investigated to simulate the transshipment of the supply chain network system in the industrial cluster supply chains. We assume that each single supply chain is composed by a manufacturer, a wholesaler and a retailer. Besides, a new transshipment policy based on system dynamics (SD) is proposed in this paper, called the model of the cross-chain inventory transshipment between two enterprises from both the same tier and different tiers. The new proposed model is different from the model of the cross-chain inventory transshipment between two enterprises at the same tier and the model of the cross-chain inventory transshipment between two enterprises at different tiers, which have been researched by previous scholars. Some comparisons are made among the three models. It is proved that the new proposed model can improve the customer satisfaction level (CSL) and lower the total inventory level than the two other models existing currently.

scholarly journals A multi-objective integrated procurement, production, and distribution problem of supply chain network under fuzziness uncertainties

Pomorstvo ◽  
2021 ◽  
Vol 35 (2) ◽  
pp. 191-206
Author(s):  
Kaoutar Douaioui ◽  
Mouhsene Fri ◽  
Charif Mabrouki ◽  
El Alami Semma
Keyword(s):  
Supply Chain ◽  
Production Capacity ◽  
Equivalent Model ◽  
Mixed Integer ◽  
Credibility Measure ◽  
Linear Programs ◽  
Supply Chain Network ◽  
Transport Costs ◽  
Integer Linear Programs ◽  
Proposed Model

In this paper, we devoted a design under uncertainty of a four-echelon supply chain network including multiple suppliers, multiple plants, multiple distributors and multiple customers. The proposed model is a bi-objective mixed integer linear programming which considers several constraints and aims to minimize the total costs including the procurement, production, storage and distribution costs as well as to maximize on-time deliveries (OTD). To bring the model closer to real-world planning problems, the objective function coefficients (e.g. procurement cost, production cost, inventory holding and transport costs) and other parameters (e.g., demand, production capacity and safety stock level), are all considered triangular fuzzy numbers. Besides, a hybrid mathematical model-based on credibility approach is constructed for the problem, i.e., expected value and chance constrained models. Moreover, to build the crisp equivalent model, we use different property of the credibility measure. The resulted crisp equivalent model is a bi-objective mixed integer linear programs (BOMILP). To transform this crisp BOMILP into a single objective mixed integer linear programs (MILP) model, we apply three different aggregation functions. Finally, numerical results are reported for a real case study to demonstrate the efficiency and applicability of the proposed model.

Designing a sustainable supply chain network for producing high-value products from waste glass

2021 ◽  
pp. 0734242X2199466
Author(s):  
Naeme Zarrinpoor
Keyword(s):  
Supply Chain ◽  
Greenhouse Gas Emission ◽  
Fuzzy Programming ◽  
Solution Procedure ◽  
Waste Glass ◽  
Worker Safety ◽  
Programming Approach ◽  
Supply Chain Network ◽  
Sustainable Supply Chain ◽  
Proposed Model

This paper aims to design a supply chain network for producing double glazed glass from the recycling of waste glass. All three pillars of sustainability are taken into consideration. The economic objective tries to maximize total profits. The environmental objective considers the energy consumption, the generated waste, the greenhouse gas emission, the water consumption, and the fuel consumption of vehicles. The social objective addresses created job opportunities, the worker safety, the regional development, the worker benefit, and training hours. To solve the model, a two-stage framework based on the group best-worst method and an interactive fuzzy programming approach is developed. The proposed model is validated through a real case study based on waste glass management in the city of Shiraz. It is revealed that when sustainable development goals are approached, a great degree of improvement will be attained in environmental and social aspects without a significant decrease in the economic sustainability. The results also demonstrate that the locations of glass recycling centres are different under economic, environmental, and social pillars, and the proposed model yields an optimal system configuration with a proper satisfaction degree of all objectives. Moreover, applying the proposed solution procedure enables system designers to obtain the most desirable trade-off between different aspects of sustainability.

Supply chain cost model for prefabricated building material based on time-driven activity-based costing

2016 ◽  
Vol 43 (4) ◽  
pp. 287-293 ◽  
Author(s):  
Yong-Woo Kim ◽  
Seung-Heon Han ◽  
June-Seong Yi ◽  
SooWon Chang
Keyword(s):  
Sensitivity Analysis ◽  
Supply Chain ◽  
Supply Chains ◽  
Construction Industry ◽  
Cost Model ◽  
Building Construction ◽  
Activity Based Costing ◽  
Chain Management ◽  
Material Supply ◽  
Supply Chain Costs

The effect of ‘supply chain management’ can be leveraged when benefits of collaboration within and beyond the capacities of individual organizations are witnessed. One of the primary tasks in reducing total supply chain costs is to understand where the costs occur in a supply chain and how each activity impacts the total supply chain costs. Most supply chains in construction usually involve multiple entities, each one in a different process. A rebar supply chain is one example where many entities are involved in different processes. The supply chain coordinator needs a supply chain cost model, which shows how each activity impacts all supply chain costs to reduce the total costs. The research suggests a supply chain cost model using time-driven activity-based costing. The proposed cost model was applied to a building construction project, followed by sensitivity analysis identifying critical activities. This method can be adapted to analyze other fragmented material supply chains in the construction industry.

scholarly journals A multi-objective approach under uncertainty for designing a green meat supply chain network

2021 ◽  
Author(s):  
Fatemeh Mohebalizadehgashti
Keyword(s):  
Linear Programming ◽  
Supply Chain ◽  
Integer Linear Programming ◽  
Mixed Integer Linear Programming ◽  
Mixed Integer ◽  
Environmental Concerns ◽  
Supply Chain Network ◽  
Food Supply Chain ◽  
Multi Objective ◽  
Proposed Model

Traditional logistics management has not focused on environmental concerns when designing and optimizing food supply chain networks. However, the protection of the environment is one of the main factors that should be considered based on environmental protection regulations of countries. In this thesis, environmental concerns with a mathematical model are investigated to design and configure a multi-period, multi-product, multi-echelon green meat supply chain network. A multi-objective mixed-integer linear programming formulation is developed to optimize three objectives simultaneously: minimization of the total cost, minimization of the total CO2 emissions released from transportation, and maximization of the total capacity utilization. To demonstrate the efficiency of the proposed optimization model, a green meat supply chain network for Southern Ontario, Canada is designed. A solution approach based on augmented εε-constraint method is developed for solving the proposed model. As a result, a set of Pareto-optimal solutions is obtained. Finally, the impacts of uncertainty on the proposed model are investigated using several decision trees. Optimization of a food supply chain, particularly a meat supply chain, based on multiple objectives under uncertainty using decision trees is a new approach in the literature. Keywords: Meat supply chain; Decision tree; Multi-objective programming; Mixed-integer linear programming; Augmented εε-constraint.

scholarly journals Value creation through demand and supply chains: evidences from Spanish companies

2017 ◽  
pp. 4-11
Author(s):  
Alberto De la Calle ◽  
María Elena Grus ◽  
Esther Álvarez de los Mozos
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Value Creation ◽  
Production Capacity ◽  
Demand And Supply ◽  
Global Context ◽  
Demand Chain ◽  
Business Results ◽  
Use Of Resources ◽  
The Relationship

The global context in which companies operate nowadays is extremely complex. This fact pushes organizations to a continuous search of the best strategy that will enable them to stand out in the market. Supply Chain Management, in its dual concept of coordinated demand and supply chains, represents an excellent opportunity to enhance the competitive advantage of companies. In relation to the demand chain, it can help to improve the knowledge of the customers and their needs, to develop their capacities for innovation and response, as well as to differentiate their products. With respect to the supply chain, it will focus the attention on increasing the flexibility in production capacity and delivery of products and services with less use of resources. For this reason, this study proposes to analyze the relationship between value creation and business results in some Spanish companies through supply chain processes. In order to do so, it describes a transactional non-experimental research employing the Technological Innovation Panel Database (PITEC).

Efficiency Evaluation of Supply Chain Network Using a Framework Based on DEA and Seller-Buyer Structure

2020 ◽  
Vol 37 (06) ◽  
pp. 2050029 ◽  
Author(s):  
Hassan Arabshahi ◽  
Hamed Fazlollahtabar ◽  
Leila Maboudi
Keyword(s):  
Supply Chain ◽  
Supplier Selection ◽  
Selection Procedure ◽  
Point Of View ◽  
Decision Makers ◽  
Efficiency Evaluation ◽  
Supply Chain Network ◽  
Stage Model ◽  
Proposed Model ◽  
Efficient Portfolios

This paper aims to develop a DEA-based framework to evaluate the efficiency of the supply chain based on the seller–buyer structure and with respect to win–win strategy. This is a bi-stage model employing the CCR model in the forms of input-oriented and output-oriented considering the intermediate measures for two different conditions under a centralized point of view. The obtained results from the extension of this model to supply chain network lead to introduce “efficient path” concept being a path including different components of the supply chain that are efficient in terms of DEA. Other kinds of proper information provided by the proposed model can help the managers and decision-makers of the supply chain field in supplier selection procedure and making efficient portfolios and collaborations across the supply chain network.

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