Effects of container ship speed on CO2 emission, cargo lead time and supply chain costs

2021 ◽  
pp. 100723
Author(s):  
Nguyen Khoi Tran ◽  
Jasmine Siu Lee Lam
Keyword(s):  
Supply Chain ◽  
Co2 Emission ◽  
Lead Time ◽  
Container Ship ◽  
Supply Chain Costs ◽  
Ship Speed

An Approach for Setting Inventory Norms for a Two-Echelon Supply Chain

2013 ◽  
Vol 6 (4) ◽  
pp. 102-119 ◽  
Author(s):  
N. Ramkumar ◽  
P. Subramanian ◽  
T. T. Narendran ◽  
K. Ganesh
Keyword(s):  
Supply Chain ◽  
Lead Time ◽  
Real Life ◽  
Vendor Managed Inventory ◽  
Two Phase ◽  
Phase Approach ◽  
Supply Chain Costs ◽  
Product Classification ◽  
Demand Variability

Managing inventories is crucial to the objective of minimizing supply chain costs. This paper presents an approach for setting inventory norms in context of a real-life case of an industry which practices Vendor Managed Inventory (VMI). The role of warehouses and the inventories held by them becomes significant in such an environment. This paper presents a two-phase approach to determine various components of inventory norms taking into account lead time and demand variability. Innovative strategic product classification has been done to decide upon stocking quantity at warehouses.

scholarly journals RELATIONSHIP BETWEEN HEDGING RISK MANAGEMENT STRATEGY AND SUPPLY CHAIN PERFORMANCE AMONG MANUFACTURING COMPANIES IN KENYA

2017 ◽  
Vol 1 (2) ◽  
pp. 82
Author(s):  
Dr.David Kiarie ◽  
Dr. Patrick Ngugi ◽  
Dr. Kennedy Ogollah
Keyword(s):  
Risk Management ◽  
Supply Chain ◽  
Sample Size ◽  
Lead Time ◽  
Management Strategy ◽  
Supply Chain Performance ◽  
Manufacturing Companies ◽  
Risk Management Strategy ◽  
Cycle Times ◽  
Supply Chain Costs

Purpose: The purpose of this study was to determine therelationship between hedging risk management strategy and supply chain performance among manufacturing companies in KenyaMethodology:The study adopted a cross-section survey of descriptive nature .The target population comprised of the 412 manufacturing companies within Nairobi County that were registered members of KAM. The fisher et al formula for calculating the sample size was used to yield a sample size of199. Data was collected using questionnaires and analyzed using statistical package of social sciences (SPSS) version 21 as a tool of analysis.Results: The study findings revealed that the companies that increased buffer stock at various levels in the supply chain. Increasing buffer stock at various levels in the supply chain resulted to decreased lead time, improved quality and reduced cost. Results also showed that most of the companies ‘conducted reduce order cycle times. Conducting reduce order cycle times resulted to decreased lead time, improved quality and reduced cost. Further, the results revealed that most of the companies shared supply chain costs with partners. Sharing supply chain costs with partners resulted to decreased lead time, improved quality and reduced cost.Policy recommendation:the study recommended that manufacturing companies should put in place a risk analysis and evaluation management strategy to enhance supply chain performance. In particular, companies should consider conducting whole life costing of suppliers and also internal quality of suppliers.

scholarly journals RELATIONSHIP BETWEEN HEDGING RISK MANAGEMENT STRATEGY AND SUPPLY CHAIN PERFORMANCE AMONG MANUFACTURING COMPANIES IN KENYA

2017 ◽  
Vol 1 (2) ◽  
pp. 82-100
Author(s):  
Dr.David Kiarie ◽  
Dr. Patrick Ngugi ◽  
Dr. Kennedy Ogollah
Keyword(s):  
Risk Management ◽  
Supply Chain ◽  
Sample Size ◽  
Lead Time ◽  
Management Strategy ◽  
Supply Chain Performance ◽  
Manufacturing Companies ◽  
Risk Management Strategy ◽  
Cycle Times ◽  
Supply Chain Costs

Purpose: The purpose of this study was to determine therelationship between hedging risk management strategy and supply chain performance among manufacturing companies in KenyaMethodology:The study adopted a cross-section survey of descriptive nature .The target population comprised of the 412 manufacturing companies within Nairobi County that were registered members of KAM. The fisher et al formula for calculating the sample size was used to yield a sample size of199. Data was collected using questionnaires and analyzed using statistical package of social sciences (SPSS) version 21 as a tool of analysis.Results: The study findings revealed that the companies that increased buffer stock at various levels in the supply chain. Increasing buffer stock at various levels in the supply chain resulted to decreased lead time, improved quality and reduced cost. Results also showed that most of the companies ‘conducted reduce order cycle times. Conducting reduce order cycle times resulted to decreased lead time, improved quality and reduced cost. Further, the results revealed that most of the companies shared supply chain costs with partners. Sharing supply chain costs with partners resulted to decreased lead time, improved quality and reduced cost.Policy recommendation:the study recommended that manufacturing companies should put in place a risk analysis and evaluation management strategy to enhance supply chain performance. In particular, companies should consider conducting whole life costing of suppliers and also internal quality of suppliers.

IDENTIFYING FUTURE VARIANTS OF FASHION DEMAND: A TREND FORECASTING MODEL FOR MINIMIZING SUPPLY CHAIN COSTS

2015 ◽  
Vol 3 (1) ◽  
pp. 296-296
Author(s):  
Michal Koren ◽  
◽  
Elad Harison ◽  
Matan Shnaiderman
Keyword(s):  
Supply Chain ◽  
Forecasting Model ◽  
Supply Chain Costs ◽  
Trend Forecasting

scholarly journals Three-Echelon Inventory Model with Permissible Delay in Payments under Controllable Lead Time and Backorder Consideration

2014 ◽  
Vol 2014 ◽  
pp. 1-16 ◽  
Author(s):  
M. F. Yang ◽  
Wei-Chung Tseng
Keyword(s):  
Supply Chain ◽  
Lead Time ◽  
Critical Issue ◽  
Solution Procedure ◽  
Inventory Model ◽  
Permissible Delay In Payments ◽  
Inventory Policy ◽  
Controllable Lead Time ◽  
Key Factor ◽  
Delay In Payments

This paper proposes a three-echelon inventory model with permissible delay in payments under controllable lead time and backorder consideration to find out the suitable inventory policy to enhance profit of the supply chain. In today’s highly competitive market, the supply chain management has become a critical issue in both practice and academic and supply chain members have to cooperate with each other to bring more benefits. In addition, the inventory policy is a key factor to influence the performance of the supply chain. Therefore, in this paper, we develop a three-echelon inventory model with permissible delay in payments under controllable lead time and backorder consideration. Furthermore, the purpose of this paper is to maximize the joint expect total profit on inventory model and attempt to discuss the inventory policy under different conditions. Finally, with a numerical example provided here to illustrate the solution procedure, we may discover that decision-makers can control lead time and payment time to enhance the performance of the supply chain.

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.

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