Application of Large Neighborhood Search to Strategic Supply Chain Management in the Chemical Industry

Author(s):  
Pedro J. Copado-Méndez ◽  
Christian Blum ◽  
Gonzalo Guillén-Gosálbez ◽  
Laureano Jiménez
Author(s):  
ManMohan S. Sodhi

In this chapter, I examine supply-chain-related challenges that eMarketplaces and existing companies face as business-to-business eCommerce increases. Although the Internet is increasingly attractive for B2B commerce and for supply-chain management, eCommerce is more likely to reveal the inefficiencies in supply chain and to increase customer expectations relative to offline trade. Therefore, managers must understand the supply-chain management challenges associated with B2B eCommerce, especially in light of the fulfillment failures already experienced in business-to-consumer eCommerce.


2015 ◽  
Vol 6 (4) ◽  
pp. 27-43 ◽  
Author(s):  
Johannes Scholz

A Supply Chain describes a system flow from the raw product to the final product that is delivered to a customer. Hence, the participating organizations, people and transport processes are part of a Supply Chain. The Wood Supply Chain denotes a special Supply Chain that describes the flow of timber. This work focuses on the logistic operations from timber production to the first processing step in a saw or paper mill, and seeks to optimize the Wood Supply Chain with Adaptive Large Neighborhood Search. By introducing spatial amendments to Adaptive Large Neighborhood Search it is capable of solving the spatial-temporal problem of Wood Supply Chain optimization. A comparison of the obtained results and initial results give evidence that the optimization approach with spatial amendments results in an increase of the objective function of the given problem.


2020 ◽  
Vol 31 (5) ◽  
pp. 1285-1308 ◽  
Author(s):  
Shohanuzzaman Shohan ◽  
Syed Mithun Ali ◽  
Golam Kabir ◽  
S.K. Kafi Ahmed ◽  
Tasmiah Haque ◽  
...  

PurposeIn Bangladesh, the chemical industry is one of the expanding industries based on current statistical data analysis. Green supply chain management (GSCM) is pivotal in order to compete with the global competition. This paper main aim is to discuss a systematic approach to build a structural outline. The purpose of the proposed structural outline is to predict the constructive implementation of GSCM especially on chemical industry in Bangladesh.Design/methodology/approachThis proposed structural framework evaluates the suitable interrelationship next to the barriers of GSCM in the Bangladesh's chemical industry. Here, on the basis of literature review and survey from expert opinions by the use of the Delphi methodology in total eight barriers were concluded. Here additionally, MICMAC analyses were applied to determine the driving and dependence power. Furthermore, the frameworks outline for the barriers were included by means of total interpretive structural modeling (TISM) method.FindingsBased on the analysis, the most significant barriers were found lack of supporting laws and guidance from the government and cost of disposal of hazardous products.Research limitations/implicationsThe TISM technique only has implemented to develop the framework, whereas other tools or structural equation modeling (SEM) technique can be used to develop and validate the frameworks for barriers.Originality/valueIn this research, Delphi method questionnaire generated based on the GSCM in the Bangladesh chemical sector. This study will assist the industrial managers to assess and evaluate the crucial sectors, whereas they should give priority to apply the GSCM in the Bangladesh chemical industry.


Author(s):  
Al Chen ◽  
Karen Nunez

The bulk chemical industry primarily relies upon truck transportation. Truck transportation, although costly, has a high percentage of on-time deliveries. Cheaper alternative transportation modes are less preferred due to a lack of supply chain information. Traditionally, the lack of information about in-transit products leads to higher safety stock and inventory levels, which results in higher costs. Process mapping and activity-based cost analysis are used to identify cost drivers and highlight the areas of opportunity for improving bulk chemical supply chain management. The activity-based cost information was used to develop a logistics cost model specifically tailored to the bulk chemical industry. The activity-based logistics cost model was used to assess potential cost savings from integrating centralized supply chain management software (visibility solutions), into the bulk chemical supply chain. The results of our analysis support integrating visibility solution software into multi-modal transportation to improve bulk chemical supply chain management. Integration of visibility solutions enables suppliers to improve their ability to monitor and control their inventory throughout the supply chain, increase overall asset utilization, and reduce global supply chain costs.


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