Smart scheduling: an integrated first mile and last mile supply approach
type: Item
instance of: scholarly article
title: Smart scheduling: an integrated first mile and last mile supply approach
zbMATH Open document ID: 1398.90046
DOI: 10.1155/2018/5180156
author: Tamás Bányai
author: Béla Illés
author: Ágota Bányai
published in: Complexity
publication date: 2018-08-08T00:00:00Z
review text: Summary: Supply chain management applies more and more Industry 4.0 innovations to increase their availability, elasticity, sustainability, and efficiency. In interconnected logistics networks, operations are integrated from suppliers through 3rd party logistics providers to customers. There are different delivery models depending on the time and cost. In the last few years, a wide range of customers is willing to pay an extra fee for the same delivery or instant delivery. This fact led to the increased importance of the optimized design and control of first mile/last mile (FMLM) delivery solutions. Cyberphysical system-based service innovations make it possible to enhance the productivity of FMLM delivery in the big data environment. The design and operation problems can be described as NP-hard optimization problems. These problems can be solved using sophisticated models and methods based on heuristic and metaheuristic algorithms. This research proposes an integrated supply model of FMLM delivery. After a careful literature review, this paper introduces a mathematical model to formulate the problem of real-time smart scheduling of FMLM delivery. The integrated model includes the assignment of first mile and last mile delivery tasks to the available resources and the optimization of operations costs, while constraints like capacity, time window, and availability are taken into consideration. Next, a black hole optimization- (BHO-) based algorithm dealing with a multiobjective supply chain model is presented. The sensitivity of the enhanced algorithm is tested with benchmark functions. Numerical results with different datasets demonstrate the efficiency of the proposed model and validate the usage of Industry 4.0 inventions in FMLM delivery.
Mathematics Subject Classification ID: 90B35
Mathematics Subject Classification ID: 90B06
Mathematics Subject Classification ID: 90C29
zbMATH DE Number: 6914655
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2018/5180156
OpenAlex ID: W2883828998
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Wikidata QID: Q129457064
description: scientific article; zbMATH DE number 6914655