An Approach to Evaluate the Profitability of Component Commonality

2017 ◽  
Vol 139 (7) ◽  
Author(s):  
Shun Takai ◽  
Sankar Sengupta
Keyword(s):  
Sensitivity Analysis ◽  
Supply Chain ◽  
High Performance ◽  
Product Cost ◽  
Component Commonality ◽  
Product Demand ◽  
Multiple Products ◽  
Electric Bicycle ◽  
Demand Variability

Commonality or the use of same components (parts, assemblies, or subsystems) among multiple products can reduce component inventory and simplify processes and logistics while accommodating variations in product demand. Excessive commonality, however, causes some products to use high-performance components and increase product cost. This paper presents an approach for evaluating profitability of component commonality by integrating commonality and supply chain decisions. The proposed approach is demonstrated using commonality of electric-bicycle motors as an illustrative example. This paper presents a sensitivity analysis of the optimum commonality with respect to motor cost, demand variability, inventory-tracking cost, and inventory-ordering cost.

scholarly journals A Model of Waste Price in a Symbiotic Supply Chain Based on Stackelberg Algorithm

2021 ◽  
Vol 13 (4) ◽  
pp. 1740
Author(s):  
Cheng Che ◽  
Xiaoguang Zhang ◽  
Yi Chen ◽  
Liangyan Zhao ◽  
Zhihong Zhang
Keyword(s):  
Sensitivity Analysis ◽  
Supply Chain ◽  
Comparative Analysis ◽  
Power Structure ◽  
Income Level ◽  
Power Structures ◽  
Optimal Price ◽  
Supply Chain System ◽  
Chain System ◽  
Revenue Model

By establishing a two-level symbiotic supply chain system consisting of one supplier and one manufacturer, we use Stackelberg method to analyze the optimal price and revenue model of supplier and manufacturer in the symbiotic supply chain under two power structures in which the supplier and manufacturer are dominant respectively, and analyze the influence of the degree of symbiosis and power structure on the model. Through comparative analysis, we find that: There is a relationship between the income level and the degree of symbiosis in the symbiotic supply chain. The change of power structure will affect the relative benefits of suppliers and manufacturers in the symbiotic supply chain. The manufacturer’s expected unit product revenue will affect the supply chain revenue when the manufacturer is dominant. Finally, the sensitivity analysis of relevant parameters is carried out through an example analysis, and the validity of the conclusion is verified. This paper has a guiding significance for the behavior of enterprises in the cogeneration supply chain.

scholarly journals Supply Chain Coordination Contracts under Double Sided Disruptions Simultaneously

2015 ◽  
Vol 2015 ◽  
pp. 1-9 ◽  
Author(s):  
Huan Zhang ◽  
Yang Liu ◽  
Jingsi Huang
Keyword(s):  
Supply Chain ◽  
Supply Chain Coordination ◽  
Optimal Price ◽  
Supply Chain System ◽  
Pricing Policy ◽  
Product Cost ◽  
Numerical Examples ◽  
Supply Chain Contracts ◽  
Different Types ◽  
Key Factor

Supply chain coordination models are developed in a two-echelon supply chain with double sided disruptions. In a supply chain system, the supplier may suffer from the product cost disruption and the retailer suffers from the demand disruption simultaneously. The purpose of this study is to design proper supply chain contracts, under which the supply chain with double sided disruption can be coordinated. Firstly, the centralized decision-making models are applied to find the optimal price and quantity under three cases as the baseline. The different cases are divided by the different relationship between the product cost disruption and the demand disruption. Secondly, two different types of contracts are introduced to coordinate the whole supply chain. One is all-unit wholesale quantity discount policy (AQDP) contract, and the other one is capacitated linear pricing policy (CLPP) contract. And it is found out that the gap between the demand disruption and the product cost disruption is the key factor to influence the supply chain coordination. Some numerical examples and sensitivity analysis are given to illustrate the models. The AQDP contracts are listed out under different cases to show how to use it under double sided disruptions.

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.

Critical minerals demand will boost Canadian mining

2021 ◽  
Keyword(s):  
Supply Chain ◽  
Rare Earth ◽  
Electric Vehicle ◽  
Carbon Emissions ◽  
High Performance ◽  
Commodity Prices ◽  
Alternative Source ◽  
Content Type ◽  
The Us ◽  
Critical Minerals

Significance Although low commodity prices deterred investment in recent years, this is changing as the market rallies. The creation of a regional electric vehicle (EV) supply chain straddling the Canada-US border has the potential to transform the Canadian mining sector while loosening China’s grip on the minerals used in high-performance batteries. Impacts Canada is the world’s eighth-largest cobalt producer and has significant copper, graphite and rare earth deposits. Fortune Minerals, which is developing a cobalt mine in Northwest Territories, has held funding talks with the US Export/Import Bank. First Cobalt is building North America’s only cobalt refinery to give battery makers an alternative source to the DRC. Several of the country’s mines are using cutting-edge technologies to reduce their carbon emissions.

scholarly journals Pengurangan Bullwhip Effect dengan Metode Vendor Managed Inventory

2016 ◽  
Vol 14 (2) ◽  
pp. 292
Author(s):  
Fenny Rubbayanti Dewi ◽  
Annisa Kesy Garside
Keyword(s):  
Supply Chain ◽  
Bullwhip Effect ◽  
Vendor Managed Inventory ◽  
Information Distortion ◽  
Demand Variability ◽  
Demand Stability

Information distortion caused PT Multi Sarana Indotani got higher demand than the distributor. Demand variability in each echelon of the supply chain (bullwhip effect) may occur due to lack of demand stability that the producer had difficulty in determining the amount of production. One of the collaboration methods that can be applied to overcome the information distortion as causes of the bullwhip effect is vendor managed inventory, where the needs of distributor and retailers monitored and controlled by the producer. In this case, vendor managed inventory applied to two echelons, producer, and distributor. 

scholarly journals Simulation software as a tool for supply chain analysis and improvement

2016 ◽  
Vol 13 (3) ◽  
pp. 983-998 ◽  
Author(s):  
Ramírez Sánchez ◽  
Mota Dulce ◽  
Giner Hernández ◽  
Luis Alcaraz ◽  
Tlapa Mendoza
Keyword(s):  
Sensitivity Analysis ◽  
Supply Chain ◽  
Cycle Time ◽  
Simulation Software ◽  
Base Line ◽  
Delivery Time ◽  
Time Production ◽  
Automotive Supply Chain ◽  
Adjustment Time ◽  
Automotive Supply

Effective decision making in the automotive supply chain is complex, due to the increasing number of suppliers and customers who form part of it. For this reason, the use of tools that allow to improve the performance of the supply chain is necessary. Simulation Software is one of these tools. Therefore, in this paper a simulation model to improve the performance of an automotive supply chain is developed. Using sensitivity analysis, this study finds the values that allow the supply chain to improve its order fulfilment indicator. In the sensitivity analysis, the variables Cycle Time, Production Adjustment Time, Delivery Time, Raw Material Inventory, and Finished Good Inventory, were modified. The results show that: 1) in the base line scenario, only the 78.85% of the orders are fulfilled, and 2) to fulfil the 100% of the orders Cycle Time, Production Adjustment Time, and Delivery Time must be reduced to one week.

Sign in / Sign up

Export Citation Format

Share Document