最优运输系统与弹性:Sindhudurg地区腰果产业研究

Shilpa C. Shinde, N. Balasubramanian
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引用次数: 0

摘要

近几十年来,随着企业准备应对不断扩大的全球化,价值链的复杂性和长度都有所增加。这包括采用更精简的供应链,以及形成提供稳定环境和持续运营流的生态系统。然而,由于中断在当今世界是不可避免的,因此必须调整操作模型以处理任何风险。复杂的生产网络的设计有多种原因,包括成本、接近市场和大规模标准化,但不一定是为了透明度或弹性。任何组织的供应链运营都可能是脆弱性或复原力的原因,这取决于其评估风险、采用风险缓解方法和制定有效业务连续性计划的能力。运输是价值链中最重要的组成部分,运输弹性对于通过精确调度和实现弹性指标(如最低行程时间、最低成本和路线优化等)恢复生产网络至关重要。本研究的目的是澄清网络恢复调度中的关键问题,并为灾后交通网络恢复提供一个独特的基于弹性的优化模型,以消除理论和实证的模糊性。以腰果工业为研究对象,考虑了腰果工业的季节性和生产加工中断的问题。本研究的目标是:(a)研究弹性指标及其对运输系统优化的影响;(b)研究弹性指标对腰果产品行业挑战的影响。利用基于OR技术和计算机编程的优化模型来解决研究目标。以最少的调整和分析时间获得运输成本、时间和效率的理想解决方案,使腰果农民能够利用运输弹性,获得经济和环境效益。
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Optimal Transportation System & Resilience: A Study of Sindhudurg District Cashew Industry
Value chains have increased in intricacy and length in recent decades as firms prepare to tackle expanding globalisation with increased peripheral advancements. This involves the adoption of leaner supply chains as well as the formation of ecosystems that provide a stable environment and a constant flow of operations. However, because disruptions are inevitable in today's world, the operational models must be tuned to handle any risks. Complex production networks are designed for a variety of reasons, including cost, proximity to markets, and mass standardisation, but not necessarily for transparency or resilience. Any organization's supply chain operations can be a cause of vulnerability or resilience, depending on its capacity to assess risks, adopt risk mitigation methods, and develop effective business continuity plans. Transportation is the most important component in value chains, and transportation resilience is critical in recovering production networks through precise scheduling and achieving resilience indicators such as lowest trip time, minimum cost, and route optimization, among others. The goal of this research is to clarify the key issues in network restoration scheduling and to offer a unique resilience-based optimization model for post-disaster transportation network restoration, in order to clear up theoretical and empirical ambiguity. Cashew industry which is seasonal as well as face many disruptions in production and processing stages was considered for the study. The study's objectives are (a) Study resilience indexes and its influence on transportation system optimization and (b) Study influence of resilience indexes on industry-based challenges with cashew product. The study objectives were addressed utilising an optimization model based on OR techniques and computer programming. The ideal solution for transportation cost, time, and efficiency can be obtained with the least amount of adjustment and analysis time, allowing cashew farmers to take advantage of transportation resilience and earn financial and environmental benefits.
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来源期刊
Alinteri Journal of Agriculture Sciences
Alinteri Journal of Agriculture Sciences AGRICULTURE, MULTIDISCIPLINARY-
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