Mathematical estimation for maximum flow of goods within a cross-dock to reduce inventory

Mukherjee, Taniya; Sangal, Isha; Sarkar, Biswajit; Alkadash, Tamer M.

doi:10.3934/mbe.2022639

Cited by 32 publications

(4 citation statements)

References 68 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The benefits for the company and decision makers had theoretical and methodological contributions as a basis. From the theoretical perspective, different authors' contributions were used, using the system dynamics approach based on optimization with diverse mathematical algorithms to manage inventories from products made and delivered [52].…”

Section: Discussionmentioning

confidence: 99%

System Dynamics and Sustainable Solution: The Case in a Large-Scale Pallet Manufacturing Company

Lagarda-Leyva,

Acosta-Quintana,

Portugal-Vásquez

et al. 2023

Sustainability

View full text Add to dashboard Cite

The proposal in the present research study is the result of a more than two-year process developed in a pallet manufacturing company for anchor enterprises in Southern Sonora, Mexico dedicated to beer production and export to the United States of America. Considering the high pallet demand for this supplier, a strategic plan was created in 2021, establishing an important project for developing technological solutions to improve decision making supported by graphical user interface and focused on sustainability. This study shows the application of system dynamics in all the wood and pallet manufacturing processes with a strategic sourcing supply chain. The method used for its development had the following stages: (1) developing the mapping process; (2) creating the causal loop diagram; (3) developing a flow and stock model with the representing mathematical equations; (4) simulating and validating current scenarios; (5) evaluating normal, optimistic, and pessimistic scenarios with multicriteria decision making using Technique to Order Preferences by Similarity and the Ideal Solution (TOPSIS) and Faire Un Choix Adéquat (FUCA); (6) building the graphical interface. The most relevant results for the company were having quantitative information regarding the pallet demand required by the main client for wood availability, which was the main restriction in the supply chain. The solution was based on four validation tests that allowed decision makers to support the production proposals considering the assistance of the dynamic models. The main conclusion demonstrated that using well-defined operation rules and policies—considering the installed capacity and pallet demand through the model solution—allows anticipating decisions on pallet quantity and reducing the risk of out-of-time deliveries.

show abstract

Section: Discussionmentioning

confidence: 99%

System Dynamics and Sustainable Solution: The Case in a Large-Scale Pallet Manufacturing Company

Lagarda-Leyva,

Acosta-Quintana,

Portugal-Vásquez

et al. 2023

Sustainability

View full text Add to dashboard Cite

show abstract

“…As discussed previously, the optimization process in the warehouse not only analyzes the current warehouse state but also provide proposals for improvement [54][55][56]. So, this proposed model is aimed to provide the following:…”

Section: Contributionsmentioning

confidence: 99%

Pallet Distribution Affecting a Machine’s Utilization Level and Picking Time

et al. 2023

Self Cite

View full text Add to dashboard Cite

Space and labor are the two internal resources within a warehouse or cross-dock center which seek attention. Meaningful efforts in optimizing these two resources can reduce the operational cost or time of the goods delivery. The timely allocation of resources to order picking not only reduces the makespan and operational time but can also evade delay. In decentralized settings, where all the information is not properly shared between the players of the supply chain, miscommunication results in delays in product delivery. In this study, efforts were made to determine the pallet quantity of different product types in an order quantify when there is a gap in information shared and, based on that, the allocation of material handling devices or pickers was conducted. Each handling device is bounded by a workload to eliminate the option of idle resources and ensure it is utilized properly. A mixed integer linear programming model was formulated for this study and was solved using Lingo. Numerical experiments were performed under varying resource numbers and pallet quantities to investigate the circumstances where the number of pallet types and allocation of machines have the highest benefit. The results confirm that a change in the pallet quantity of the products increases the total picking time. However, an increase in the number of handling devices minimizes the level of over-utilization of a particular machine.

show abstract

“…Cross-docking includes the integration of different middle forms like accepting the inbound items, deconsolidation, sorting, union, and, at long last, stacking the solidified items in outbound shipments to reach the clients [37]. Most of the logistic models within a cross-dock focus on reducing the total cost, the material handling cost [38], or the material flow [39] in forward distribution. However, with return process management turning into a significant field in different organizations, the extension of the benefits of cross-docking with reverse logistics has broadened accordingly [40].…”

Section: Reverse Cross-dockingmentioning

confidence: 99%

How Effective Is Reverse Cross-Docking and Carbon Policies in Controlling Carbon Emission from the Fashion Industry?

et al. 2023

Self Cite

View full text Add to dashboard Cite

The present consumer behavior is manipulated by “fast fashion”, where purchasing new, trendy, affordable clothes is preferred over recycling old ones. This changing mannerism has escalated the GHG emissions from the fashion industry. Energy-intensive raw material production, preparation, and processing contribute to considerable emissions. The management of the returned goods from the primary market and further processing through the secondary outlets indulge in reverse logistics. In this paper, efforts are made to minimize the total cost and the carbon emission amount during the process of managing the return articles from the primary market to the reverse distribution center, further processing of the articles at the secondary outlet, and the return of the unsold or excess articles from the secondary outlet. Reverse cross-docking has been implemented in managing the return articles, while environmental concerns over GHG emissions have been addressed by investing in green technology under a strict carbon cap policy. In this research, return articles from the primary and secondary markets, rework of the returned articles, and disposal of the impaired returned articles have been considered. The carbon emission cost at all stages of transportation, rework, or disposal has also been incorporated into this model. A constrained mixed integer linear programming model is proposed and solved considering green investment. A numerical example has been formulated to investigate the effect of green technology on the total cost. The results portray that, though the total cost increases by nearly 2% due to investment in green technology, it ensures a considerable drop of 23% in the carbon emission amount. Also, the result is successful in establishing that reverse cross-docking is a better option than traditional warehousing in terms of minimizing the cost.

show abstract

Mathematical estimation for maximum flow of goods within a cross-dock to reduce inventory

Cited by 32 publications

References 68 publications

System Dynamics and Sustainable Solution: The Case in a Large-Scale Pallet Manufacturing Company

System Dynamics and Sustainable Solution: The Case in a Large-Scale Pallet Manufacturing Company

Pallet Distribution Affecting a Machine’s Utilization Level and Picking Time

How Effective Is Reverse Cross-Docking and Carbon Policies in Controlling Carbon Emission from the Fashion Industry?

Contact Info

Product

Resources

About