Service supply chain: A prospective analysis of sustainable management for global performance

IEEE Trans. on Green Commun. Netw.

Zeng

Bilal

et al. 2023

With the development of cloud computing and data intelligence, datacenters have become an important part of ensuring service quality and production efficiency in intelligent applications. However, datacenters are also facing increasingly complex and heavy task processing requirements currently, and more efficient scheduling methods are urgently needed. Therefore, this paper proposes a multi-swarm particle swarm optimization task scheduling method based on load balancing, aiming at reducing the maximum completion time (makespan) and response time in task scheduling. The proposed method designs a new fitness function for particles, and promotes the load balance of the cluster during the scheduling process by optimizing the combination of makespan and machine completion time variance. And a novel inertia weight is designed to dynamically adjust the particle search performance. The new initialization method and multi-swarm search design are used to improve the quality and diversity of solutions and avoid particles falling into local optimum. Finally, the proposed algorithm is verified experimentally using the task dataset released by Alibaba datacenter, and compared with other benchmark algorithms. The results show that the algorithm can improve the task scheduling performance of datacenters in supply chain management when dealing with different workloads and changes in the number of machines.

Section: Related Workmentioning

confidence: 99%

A Multi-Swarm PSO Approach to Large-Scale Task Scheduling in a Sustainable Supply Chain Datacenter

IEEE Trans. on Green Commun. Netw.

Zeng

Bilal

et al. 2023

“…As cloud infrastructure gradually becomes the basic supply chain of many industries, it bears more and more diverse and massive service demands. The stability and efficiency of the basic supply chain is an important part of ensuring the service quality and production efficiency of many other industries [17]. Due to the rapid growth of the number of users and the diversification of service demands, the scale of data centers is getting larger and the structure is becoming more and more complicated.…”

Section: Related Workmentioning

confidence: 99%

A Multi-Swarm PSO Approach to Large-Scale Task Scheduling in a Sustainable Supply Chain Datacenter

Zeng

et al. 2022

Preprint

In recent years, supply chain management has become an incrementally vital part of industrial sectors, which affects the service quality and production efficiency of relevant enterprises. With the rapid development of cloud computing technology, a distributed datacenter plays a vital role in supply chain management of many infrastructures but suffers from high energy consumption and low service efficiency due to heavy allocation of massive calculation and analysis tasks. In this paper, an efficient multi-swarm particle swarm optimization approach is proposed based on load balancing. Both makespan and completion time variances of all resources have been minimized. An initialization scheme is also presented concerning the convergence rate and adaptive inertia weights. An open dataset from an Alibaba datacenter has been employed to resolve the uneven load events caused by inefficient supply chain arrangement between distributed tasks and resources. Two criteria, makespan and response time during task scheduling have been chosen for performance evaluation. According to the results, the proposed work can improve task scheduling efficiency and sustainability in distributed datacenters supporting diverse supply chain environments.

“…However, as explained by Sengupta et al (2006), the sustainability of service supply chains has different characteristics than manufacturing supply chains. A sustainable service supply chain is a collection of different links that aim to deliver services to customers while bringing together stakeholder concerns with environmental and ethical considerations (Hmioui et al, 2020). Implementing a green supply chain approach can bring advantages with about cost reduction, efficacy, and innovativeness (Luthra et al, 2012).…”

Section: Sustainable Service Supply Chainmentioning

confidence: 99%

“…A service supply chain describes an institutional arrangement of a single or a group of service suppliers and providers entering into a relationship with a service customer or clients for a shared benefit (Bentalha et al, 2019). The sustainable supply chain service was proposed to simultaneously encompass and integrate investors' financial and economic orientations with stakeholders' concerns (Hmioui et al, 2020). Building a sustainable services supply chain is a relatively complicated and lengthy process.…”

Section: Introductionmentioning

confidence: 99%

Smart Technologies for a Sustainable Service Supply Chain: A Prospective Perspective

Bentalha

2022

JEICC

This paper aims to present new smart technologies and their implications for the sustainability of the service supply chain. Our objective is to show the opportunities offered by smart technologies in the future of service supply chains. The article develops a prospective analysis of the opportunities offered by smart technologies regarding the sustainability of the service supply chain. A prospective analysis of the possible alternatives in terms of technological and commercial opportunities but also terms of barriers to the development of technologies is proposed. This approach is guided by a literature review, interviews with experts, and a quantitative study. The prospective vision obtained traces strong development opportunities in artificial intelligence and Big-Data and exposes the strong presence of financial limits and technological risks inherent to sustainable and digital service logistics. This article proposes an original approach in terms of prospective methodology based on the PRODIN method integrating a literary study, semi-directive interviews, and a quantitative questionnaire.