Resource integration optimization of convenience service platforms adopting dynamic service modes in new retail

Yang, Yang; Yao, Jianming

doi:10.1186/s11782-021-00101-0

Cited by 7 publications

(8 citation statements)

References 50 publications

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“…To account for the scale differences between objective functions, they are made dimensionless, enabling the conversion of a multi-objective problem into a singular objective function by assigning appropriate weights [28,29]. These weights adapt based on the decision-making context.…”

Section: Algorithmsmentioning

confidence: 99%

Resource Scheduling Optimization of Fresh Food Delivery Porters Considering Ambient Temperature Variations

Shan,

Yao

2024

Sustainability

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In the context of an evolving socio-economic landscape and rising living standards, the online market for fresh products, encompassing fruits, vegetables, meats, dairy, and eggs, has seen substantial growth, necessitating sophisticated logistics for e-commerce home delivery. This study tackles the distinct challenges of fresh product delivery, which demand rigorous adherence to climate conditions and product mix during transport, significantly influencing the operational strategies and scheduling of delivery platforms. To address these challenges, a comprehensive mathematical model was developed to optimize fresh food home delivery scheduling, focusing on reducing spoilage rates and accommodating the dynamic impact of environmental temperature changes. The model posits assumptions of a consistent and ample supply of fresh goods, standard initial quality loss, and efficient porter assignment for multi-category order combinations. It introduces three objective functions, targeting the minimization of fresh food loss, maximization of customer satisfaction, and reduction of distributor costs. The efficacy of the model and its genetic-algorithm-based solution method was assessed through numerical analysis and case studies, illustrating that the model enhances delivery efficiency and service quality across varying temperature conditions. This substantiates the critical role of environmental temperature management in optimizing fresh food delivery, offering a robust framework for advancing logistical operations in the perishable goods sector and ensuring quality and efficiency in fresh food e-commerce delivery.

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Section: Algorithmsmentioning

confidence: 99%

Resource Scheduling Optimization of Fresh Food Delivery Porters Considering Ambient Temperature Variations

Shan,

Yao

2024

Sustainability

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“…The emergence of digital platforms has disrupted traditional business models in the housekeeping service industry (Feng et al, 2021). Multi-sided platforms, such as GrabMaid and Maideasy, have made it easier for customers to find and book housekeeping services online.…”

Section: Multi-sided Platform Businessmentioning

confidence: 99%

A Conceptual Cleansolution Business Model: Empowering Low-Income B40 Communities as Entrepreneurs Through Housekeeping and Sertu Cleaning Services

AMER SHARIFFUDIN,

WAN AHMAD SAYUTI,

MHD KAMIL

et al. 2023

JISDT

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This paper discusses a conceptual business model of housekeeping service, called CleanSolution that aims to provide property care and cleaning management services through the use of a digital platform for business operations. The platform is intended to improve connectedness between housekeeping and sertu cleaning service companies and their workers, aligned to the first, third and eighth Sustainable Development Goals (SDGs) of no poverty (SDG1), good health and well-being (SDG3) as well as decent work, and economic development (SDG8). The critical challenge for CleanSolution is to focus on creating work opportunities for B40s and nurturing B40 cleaning entrepreneurs through sertu cleaning services that will benefit potential customers in terms of creating decent work & economic growth (SDG8) for individuals and the country. On top of that, the business provides a sustainable cleaning service including Sertu cleaning which is a Shariah compliance cleaning method for Muslim customers, through a trusted online platform as a medium of communication between customers, workers and the sertu cleaning service companies. CleanSolution is designed, tested, and established as a multi-sided platform business, after conducting surveys in understanding the problems faced by the various customer segments (CS) - customers, workers and the housekeeping & sertu cleaning service companies. Design thinking methodology has been adapted in this paper including empathising, defining, ideating, prototyping, and testing. The paper outlines the creation of both a Business Model Canvas (BMC) and a Value Proposition Canvas (VPC) to guide the development and implementation of the digital platform.

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“…This ensures at the structural level that the agricultural production service system can continue to function effectively. When providing service portfolios for farmers, the agricultural service platform needs to effectively connect the services of each link to ensure the continuity of production activities, but also needs to reduce the internal and external uncertainties in the scheduling process and avoid the operational risks of the service platform [28]. Based on the above analysis, the agricultural production service platform needs to optimize its scheduling decisions in terms of both the fit and flexibility of the service portfolio when scheduling the service supply chain to provide the service portfolio.…”

Section: Analysis and Portrayal Of Service Efficiencymentioning

confidence: 99%

“…Such problems belong to NP-hard problems, and it often takes a long time to solve them using exact class algorithms when the problem size is large, so in solving such complex NP-hard problems, meta-heuristic algorithms are usually used, and stochastic algorithms are introduced on the basis of local search of heuristic algorithms to avoid falling into local optimum and search for global optimal solutions, such as forbidden search algorithms, simulated annealing algorithms, genetic algorithms, ant colony algorithms, etc. [28,37,38]. Since the decision variables of the model are 0-1 variables, for this kind of integer programming problem, genetic algorithms do not have the qualifications of function continuity and derivation, though they have better global search ability [39], while compared with other heuristic class algorithms, genetic algorithms are self-organizing, self-adaptive and self-learning [23], which are more suitable capabilities for the solution of the model in this study.…”

Section: Introduction To the Algorithmmentioning

confidence: 99%

Supply Chain Scheduling Optimization in an Agricultural Socialized Service Platform Based on the Coordination Degree

Yang

2022

Sustainability

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In order to create a sustainable agricultural production system and meet the multi-stage and differentiated production needs of farmers, this study proposes to build an agricultural service platform to dispatch agricultural service providers. Reasonably handling the collaborative relationship between farmers and service providers is a key issue in platform scheduling. Based on the analysis of the operation characteristics of the agricultural service platform, this study redefines the core issue of handling the collaborative relationship—the coordination degree—from the special characteristics of agricultural services, then analyzes it in depth and proposes a portrayal method. On this basis, a multi-stage and multi-objective scheduling optimization model, which integrally reflects the service utility and service combination operation efficiency, is constructed, and an improved genetic algorithm is proposed for solving it. Then, this study designs a numerical experiment which describes the multi-stage decision making of farmers, and the simulation results show that the optimization model can provide a balanced multi-objective supplier scheduling solution for them. Further, the validity and feasibility of the model and algorithm are verified through comparative tests of optimization effects and sensitive analysis. This study contributes to research on sustainable agriculture by modeling collaboration between smallholder farmers and agricultural service providers, and provides an effective decision-making tool for agricultural service platforms.

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Resource integration optimization of convenience service platforms adopting dynamic service modes in new retail

Cited by 7 publications

References 50 publications

Resource Scheduling Optimization of Fresh Food Delivery Porters Considering Ambient Temperature Variations

Resource Scheduling Optimization of Fresh Food Delivery Porters Considering Ambient Temperature Variations

A Conceptual Cleansolution Business Model: Empowering Low-Income B40 Communities as Entrepreneurs Through Housekeeping and Sertu Cleaning Services

Supply Chain Scheduling Optimization in an Agricultural Socialized Service Platform Based on the Coordination Degree

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