Modelling Sustainable Development Aspects within Inventory Supply Strategies

Bonilla-Enríquez, Gladys; Cano‐Olivos, Patricia; Peng, Liqun; Gan, Weijun; Martínez‐Flores, José‐Luis; Sánchez‐Partida, Diana

doi:10.1155/2021/5232814

Cited by 5 publications

(5 citation statements)

References 17 publications

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“…Finally, Six-Sigma is recently being explored as a tool to improve the sustainability and environmental aspects of manufacturing processes (Erdil et al, 2018;Pujol-Tucci et al, 2021;Rathi et al, 2022). As inventory-associated planning involves the emission of contaminants (Bonilla-Enriquez et al, 2021), it is crucial to address sustainability with future Six-Sigma projects.…”

Section: Discussionmentioning

confidence: 99%

Six-Sigma Guidelines to Improve Inventory Management in a Bottling Company

Caballero‐Morales

Bonilla-Enríquez

2022

IJEK

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Warehousing allows timely distribution of goods between suppliers, manufacturers, retailers, and end customers. Thus, its optimal performance is crucial for the global supply chain. While there are methodologies to accomplish its optimal performance, few practical cases are reported in the specialized literature. This work describes the implementation of Six-Sigma to improve the warehousing operations associated to inventory management in an international bottling company in Mexico. This was performed through the DMAIC methodology with the following qualitative and quantitative tools: 5WH1, Root Cause Analysis, Ishikawa Diagram, SIPOC, and the 5 Why’s. After a three-month implementation plan, the improved inventory policies reduced stockout/overstock risks, order rejection rates, warehouse saturation, loading/unloading maneuvers, unsuitable storing practices, and increased distribution fleet utilization. These improvements implicated expected annual savings of approximately $4.0M, which can be increased if other processes beyond warehousing such as route and location planning are considered. The implementation details contribute to the limited case studies literature that can support the application to solve warehousing problems in other industries.

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Section: Discussionmentioning

confidence: 99%

Six-Sigma Guidelines to Improve Inventory Management in a Bottling Company

Caballero‐Morales

Bonilla-Enríquez

2022

IJEK

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“…However, the latter impacts the environment through high emission rates [80]. Consequently, increasing public attention to climate change and corporate social and societal responsibility including greenhouse gas emissions, quality of life, and job creation has led to the advent of sustainable supply chain management [81][82][83]. This work developed an integrated inventory-emission CO 2 model to reduce the costs associated with the lot size inventory while considering the carbon tax resulting from the CO 2 emissions generated by the transport of the goods under uncertain demand.…”

Section: Sustainable Lot Size Optimizationmentioning

confidence: 99%

Butterfly Algorithm for Sustainable Lot Size Optimization

Benmamoun,

Fethallah,

Ahlaqqach

et al. 2023

Sustainability

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The challenges faced by classical supply chain management affect efficiency with regard to business. Classical supply chain management is associated with high risks due to a lack of accountability and transparency. The use of optimization algorithms is considered decision-making support to improve the operations and processes in green manufacturing. This paper suggests a solution to the green lot size optimization problem using bio-inspired algorithms, specifically, the butterfly algorithm. For this, our methodology consisted of first collecting the real data, then the data were expressed with a simple function with several constraints to optimize the total costs while reducing the CO2 emission, serving as input for the butterfly algorithm BA model. The BA model was then used to find the optimal lot size that balances cost-effectiveness and sustainability. Through extensive experiments, we compared the results of BA with those of other bio-inspired algorithms, showing that BA consistently outperformed the alternatives. The contribution of this work is to provide an efficient solution to the sustainable lot-size optimization problem, thereby reducing the environmental impact and optimizing the supply chain well. Conclusions: BA has shown that it can achieve the best results compared to other existing optimization methods. It is also a valuable chainsaw tool.

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“…Haripriya et al [20] developed an inventory model under the cloudy-fuzzy uncertain environment. Bonilla et al [21] proposed a supply chain model by taking uncertain demand.…”

Section: Introductionmentioning

confidence: 99%

Inventory system with generalized triangular neutrosophic cost pattern incorporating maximum life-time-based deterioration and novel demand through PSO

Bhavani¹,

Mahapatra²

2022

Soft Comput

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At the manufacturing plant or while the products are being transferred from one supply layer to another, there is a considerable possibility of receiving damaged or faulty items mixed in with non-defective commodities. This research focuses on the non-defective and defective products that are shipped to retailers by their suppliers. The retailer reworks faulty items to make them non-defective, and the retailer receives a discount on the cost of purchasing defective items. The presented inventory system addresses the uncertainty in inventory costs and also considers the deterioration of items with prioritized maximum product life. In this study, our aim is to minimize the total inventory cost when demand rate as a function of quality and power pattern of time under crisp and generalized triangular neutrosophic environments.Based on the payment deal, interest charges are imposed only when the payment delay has passed a particular allowable time limit. The neutrosophic number, which provides three different types of membership functions representing truth, hesitation, and falseness, is used in the inventory model to handle the cost pattern's uncertainty. A particle swarm optimization approach is used to analyze the proposed inventory model, and the results are validated using a numerical example and sensitivity analysis for various parameters.

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Modelling Sustainable Development Aspects within Inventory Supply Strategies

Cited by 5 publications

References 17 publications

Six-Sigma Guidelines to Improve Inventory Management in a Bottling Company

Six-Sigma Guidelines to Improve Inventory Management in a Bottling Company

Butterfly Algorithm for Sustainable Lot Size Optimization

Inventory system with generalized triangular neutrosophic cost pattern incorporating maximum life-time-based deterioration and novel demand through PSO

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