A comparison between individual factories and industrial clusters location in the forest supply chain

2017 ◽  
Vol 83 ◽  
pp. 88-98 ◽  
Author(s):  
Nicolás Vanzetti ◽  
Gabriela Corsano ◽  
Jorge M. Montagna
Keyword(s):  
Supply Chain ◽  
Industrial Clusters ◽  
Forest Supply Chain

scholarly journals Modeling and Optimization Sustainable Forest Supply Chain Considering Discount in Transportation System and Supplier Selection under Uncertainty

Forests ◽  
2021 ◽  
Vol 12 (8) ◽  
pp. 964
Author(s):  
Komeyl Baghizadeh ◽  
Dominik Zimon ◽  
Luay Jum’a
Keyword(s):  
Supply Chain ◽  
Working Hours ◽  
Mixed Integer ◽  
Forest Industry ◽  
Northern Iran ◽  
Suggested Approach ◽  
Tactical Decisions ◽  
Environmental Goals ◽  
Forest Supply Chain ◽  
The Impact

In recent decades, the forest industry has been growingly expanded due to economic conditions, climate changes, environmental and energy policies, and intense demand changes. Thus, appropriate planning is required to improve this industry. To achieve economic, social and environmental goals, a supply chain network is designed based on a multi-period and multi-product Mixed-Integer Non-Linear Programming (MINLP) model in which the objective is to maximize the profit, minimize detrimental environmental effects, improve social effects, and minimize the number of lost demands. In addition, to improve forest industry planning, strategic and tactical decisions have been implemented throughout the supply chain for all facilities, suppliers and machinery. These decisions significantly help to improve processes and product flows and to meet customers’ needs. In addition, because of the presence of uncertainty in some parameters, the proposed model was formulated and optimized under uncertainty using the hybrid robust possibilistic programming (HRPP-II) approach. The -constraint technique was used to solve the multi-objective model, and the Lagrangian relaxation (LR) method was utilized to solve the model of more complex dimensions. A case study in Northern Iran was conducted to assess the efficiency of the suggested approach. Finally, a sensitivity analysis was performed to determine the impact of important parameters on objective functions. The results of this study show that increasing the working hours of machines instead of increasing their number, increasing the capacity of some facilities instead of establishing new facilities and expanding the transport fleet has a significant impact on achieving predetermined goals.

Driving Model of Implementing Mass-Customization Manufacturing in Cluster Supply Chain

2014 ◽  
Vol 697 ◽  
pp. 478-481
Author(s):  
Chun Ling Liu ◽  
Shuang Shuang Liu
Keyword(s):  
Supply Chain ◽  
Mass Customization ◽  
Industrial Cluster ◽  
Industrial Clusters ◽  
Driving Model ◽  
Using Data ◽  
Push Model

To explore the attributes of cluster supply chain, and provide its driving model (2P&2BP) for more effective and more efficient way in implementing mass customization. The paper analyzes cluster supply chain driving model for implementing mass customization manufacturing using data from case study from 8 garment and IT industrial clusters. In process of implementing mass customization, we found that cluster supply chain has supplying level, marketing level and supplementing level to support its driving model (2P&2BP: Pull/push/burst power/bottleneck press) rather than conventional pull\push model. thus SMEs (small and medium-sized enterprises) in industrial cluster would have chances to extensively participate cooperate with core companies in the form of supply chain, thus expanding gradually.

Multi-commodity supply network planning in the forest supply chain

2009 ◽  
Vol 196 (2) ◽  
pp. 688-696 ◽  
Author(s):  
Satyaveer S. Chauhan ◽  
Jean-Marc Frayret ◽  
Luc LeBel
Keyword(s):  
Supply Chain ◽  
Network Planning ◽  
Supply Network ◽  
Forest Supply Chain

scholarly journals How Will an Economic Downturn Impact the SME Industrial Cluster in Malang?

2021 ◽  
Author(s):  
Emma Yunika Puspasari ◽  
Ni’matul Istiqomah ◽  
Nur Anita Yunikawati ◽  
Magistyo Purboyo Priambodo
Keyword(s):  
Supply Chain ◽  
Raw Materials ◽  
Supply And Demand ◽  
Industrial Cluster ◽  
Industrial Clusters ◽  
Creative Economy ◽  
Economic Downturn ◽  
Economic Activities ◽  
Industry Cluster ◽  
Economic Sectors

Malang is one of the cities that supports the creation of a competitive creative economy. There are a number of industrial clusters spread throughout the Malang area, one of which is the Sanitair cluster. Industry security in Malang was very high before the COVID-19 pandemic. The COVID-19 pandemic has caused a decline in the economy and in activity in the creative economy sector in Malang, including in the Sanitair industry cluster. The economic shock caused by the COVID-19 pandemic gradually subsided as the stability of the domestic financial market and economic sectors stretched. However, the supply and demand sides of the industry were both hit, so recovery efforts still need more time. The spread of the virus also has not shown signs of ending along with the increasing trend of cases and confirmed deaths. The demand for various social and economic activities is getting stronger, marked by loosening of physical distancing in many areas. On the other hand, the existing public health infrastructure is still inadequate. So, there is a high risk to moving back the various wheels of social and economic activity in the Sanitair industry cluster in Malang. COVID-19 affected the supply chain of the SME industry, including the absorption of products, the availability of raw materials, suppliers and the distribution process of the Sanitair industry. Keywords: Economic downturn, Industrial cluster, supply chain

Optimal design of a forest supply chain in Argentina considering economic and social aspects

2019 ◽  
Vol 231 ◽  
pp. 224-239
Author(s):  
Regina Meyer ◽  
Sandra Campanella ◽  
Gabriela Corsano ◽  
Jorge M. Montagna
Keyword(s):  
Supply Chain ◽  
Optimal Design ◽  
Social Aspects ◽  
Forest Supply Chain

scholarly journals Game—The Transportation Game

2020 ◽  
Vol 21 (1) ◽  
pp. 1-12 ◽  
Author(s):  
Foroogh Abasian ◽  
Mikael Rönnqvist ◽  
Philippe Marier ◽  
Dag Fjeld
Keyword(s):  
Supply Chain ◽  
Transportation Costs ◽  
Educational Game ◽  
Optimal Solutions ◽  
Short Term ◽  
Purchasing Cost ◽  
Hierarchical Decision ◽  
Individual Decisions ◽  
Forest Supply Chain

This paper presents an online educational game focusing on hierarchical procurement planning in a simulated forest supply chain with multiple companies. The purpose is to provide an understanding of the importance of individual decisions and their medium- to long-term impacts on the entire supply chain. The transportation game comprises three phases, each simulating hierarchical decision making when three competing companies (i.e., the game players) are making simultaneous decisions on the available resources. Each game phase also requires concurrent collaboration and competition. The phases represent different planning levels from long-term to short-term planning, considering the collaboration concept within the supply chain. The simulated supply chain objective is to minimize resource purchasing and transportation costs. The purchasing cost will be fixed after the first phase. The chance of decreasing transportation costs, however, is available until the end of the game. We develop three optimization models for each game phase. Once the game is finished, it compares the players’ results with optimal solutions prepared upfront. Finally, we present some comments about the game experience in various classrooms.

A mathematical modeling for simultaneous routing and scheduling of logging trucks in the forest supply chain

2022 ◽  
Vol 136 ◽  
pp. 102693
Author(s):  
Luciana Melchiori ◽  
Graciela Nasini ◽  
Jorge M. Montagna ◽  
Gabriela Corsano
Keyword(s):  
Mathematical Modeling ◽  
Supply Chain ◽  
Routing And Scheduling ◽  
Forest Supply Chain

Digital Technologies for Forest Supply Chain Optimization: Existing Solutions and Future Trends

2018 ◽  
Vol 62 (6) ◽  
pp. 1108-1133 ◽  
Author(s):  
Johannes Scholz ◽  
Annelies De Meyer ◽  
Alexandra S. Marques ◽  
Tatiana M. Pinho ◽  
José Boaventura-Cunha ◽  
...  
Keyword(s):  
Supply Chain ◽  
Digital Technologies ◽  
Future Trends ◽  
Supply Chain Optimization ◽  
Forest Supply Chain
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