Integrating smart production and multi-objective reverse logistics for the optimum consumer-centric complex retail strategy towards a smart factory’s solution

IF 10.4 1区 计算机科学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Biswajit Sarkar , Sandipa Bhattacharya , Mitali Sarkar
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引用次数: 0

Abstract

In response to complex retail challenges, the elasticity of production and logistic efficacy can minimize expenses, which always meets consumer satisfaction. The approach evolves by implementing a retail logistics strategy to integrate advanced production information under diverse trading modes. The research promotes a high level of consumer service, and on the other hand, the remanufacturing establishes a significant retail insight by holistically defining the prime pillar in the success of reverse e-commerce platforms. In reality, the advent of strategy actualizes quantifying success components in retail logistics practices with an adequate understanding of consumer preferences. The approach intensifies consumer expectations to trigger retailing efforts and ensures effective interaction, which is a prominent challenge to retailers. In this context, consumer-centric retail strategy is reshaped under the robust paradigm to facilitate the impact of the retail economy in the logistics framework. The study proposes a comprehensive mathematical framework with multiple objectives following restrictions to implement the marketing operations under two distinct retail scenarios. The findings demonstrate consumer loyalty and outline the logistics experiences with declining total costs and delivery time by looking at cooperative interaction methodology. An excellent measure reveals a consumer service goal of reducing the 34% expenses and 25% delivery time of the product by expanding a 20% green advantage into logistics retailing. The empirical analysis revamps the conceptual underpinnings of the reverse logistics business and extends a novel opportunity in marketing. More specifically, the trend has led to anticipating the subject’s intention under the logistics operational services.
集成智能生产和多目标逆向物流,以实现以消费者为中心的最佳复杂零售策略,以实现智能工厂的解决方案
为了应对复杂的零售挑战,生产弹性和物流效率可以使费用最小化,从而始终满足消费者的满意度。该方法通过实施零售物流策略来整合不同贸易模式下的先进生产信息。研究促进了高水平的消费者服务,另一方面,再制造通过整体定义逆向电子商务平台成功的主要支柱,建立了重要的零售洞察力。在现实中,战略的出现在零售物流实践中实现了量化成功的组成部分,充分了解了消费者的偏好。这种方法增强了消费者的期望,从而触发零售努力,并确保有效的互动,这对零售商来说是一个突出的挑战。在此背景下,以消费者为中心的零售战略在稳健范式下被重塑,以促进零售经济在物流框架中的影响。该研究提出了一个综合的数学框架,具有多个目标和限制,以在两种不同的零售场景下实施营销操作。研究结果证明了消费者的忠诚度,并通过观察合作互动方法,概述了总成本和交货时间下降的物流体验。一项优秀的措施揭示了消费者服务目标,即通过在物流零售业中扩大20%的绿色优势,减少34%的费用和25%的交货时间。实证分析改造了逆向物流业务的概念基础,并扩展了营销的新机会。更具体地说,这一趋势导致了对物流业务服务下主体意图的预测。
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来源期刊
Journal of Industrial Information Integration
Journal of Industrial Information Integration Decision Sciences-Information Systems and Management
CiteScore
22.30
自引率
13.40%
发文量
100
期刊介绍: The Journal of Industrial Information Integration focuses on the industry's transition towards industrial integration and informatization, covering not only hardware and software but also information integration. It serves as a platform for promoting advances in industrial information integration, addressing challenges, issues, and solutions in an interdisciplinary forum for researchers, practitioners, and policy makers. The Journal of Industrial Information Integration welcomes papers on foundational, technical, and practical aspects of industrial information integration, emphasizing the complex and cross-disciplinary topics that arise in industrial integration. Techniques from mathematical science, computer science, computer engineering, electrical and electronic engineering, manufacturing engineering, and engineering management are crucial in this context.
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