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

Traceability system using IoT and forecasting model for food supply chain

2020 ◽  
Author(s):  
Ganjar Alfian ◽  
Muhammad Syafrudin ◽  
Norma Latif Fitriyani ◽  
Jongtae Rhee ◽  
Muhammad Rifqi Ma'arif ◽  
...  
Keyword(s):  
Supply Chain ◽  
Food Supply ◽  
Forecasting Model ◽  
Food Supply Chain ◽  
Traceability System

A novel cryptocurrency price trend forecasting model based on LightGBM

2020 ◽  
Vol 32 ◽  
pp. 101084 ◽  
Author(s):  
Xiaolei Sun ◽  
Mingxi Liu ◽  
Zeqian Sima
Keyword(s):  
Forecasting Model ◽  
Price Trend ◽  
Model Based ◽  
Trend Forecasting

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 Interval Forecasting in Supply Chain with Small Sample

2018 ◽  
Vol 2018 ◽  
pp. 1-10
Author(s):  
Lifeng Wu ◽  
Yan Chen
Keyword(s):  
Supply Chain ◽  
Small Sample ◽  
Decision Makers ◽  
Small Samples ◽  
Forecasting Model ◽  
Future Trends ◽  
Human Judgment ◽  
Proposed Model ◽  
Grey Models ◽  
Short Time

To deal with the forecasting with small samples in the supply chain, three grey models with fractional order accumulation are presented. Human judgment of future trends is incorporated into the order number of accumulation. The output of the proposed model will provide decision-makers in the supply chain with more forecasting information for short time periods. The results of practical real examples demonstrate that the model provides remarkable prediction performances compared with the traditional forecasting model.

Economic and Environmental Assessment of Spare Parts Production Using Additive Manufacturing

2019 ◽  
pp. 159-181
Author(s):  
Atanu Chaudhuri ◽  
Dennis Massarola
Keyword(s):  
Supply Chain ◽  
Additive Manufacturing ◽  
Dynamic Simulation ◽  
Environmental Sustainability ◽  
Selective Laser Sintering ◽  
Spare Part ◽  
Spare Parts ◽  
Logistics System ◽  
Supply Chain Costs ◽  
System Dynamic Simulation

This chapter aims to investigate the potential economic and environmental sustainability outcomes of additive manufacturing (AM) for spare parts logistics. System dynamic simulation was conducted to analyze the sustainability of producing a spare part used in a railways subsystem using a particular additive manufacturing (AM) technology (i.e., selective laser sintering [SLS]) compared to producing it using injection molding. The results of the simulation showed that using SLS for the chosen part is superior to the conventional one in terms of total variable costs as well as for carbon footprint. Compared to the conventional supply chain, for the AM supply chain, the costs of the supplier reduces by 46%, that of the railways company reduces by 71%, while the overall supply chain costs reduce by 61.9%. The carbon emissions in the AM supply chain marginally reduces by 2.89% compared to the conventional supply chain.

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