Complex Production-Inventory Replenishment Problem With Uncertainty in Customer Behaviour

Adediran, Tunde Victor; Al-Bazi, Ammar

doi:10.24867/ijiem-2022-4-318

Cited by 2 publications

(1 citation statement)

References 52 publications

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“…Customers have become active participants in the logistics process, selecting delivery models that suit their preferences [19]. The shift in the role of consumers [20] has given rise to the term "logsumers" (logistics consumers), indicating their increasing power and influence on the entire supply chain. Consequently, logistics is no longer concealed from consumers, as it was before the development of e-commerce; instead, it has become an exceptionally crucial factor in their online experience, influencing their purchasing decisions [17,[21][22][23].…”

Section: Introductionmentioning

confidence: 99%

The Factors Influencing User Satisfaction in Last-Mile Delivery: The Structural Equation Modeling Approach

Vrhovac,

Dakić,

Milisavljević

et al. 2024

Mathematics

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The primary goal of this research is to identify which factors most significantly influence customer satisfaction in the last-mile delivery (LMD) process. The sample comprised 907 participants (63.4% female) with a mean age of 34.90. All participants completed three questionnaires regarding LMD, customer satisfaction, and trust in courier service. Furthermore, participants answered questions related to significant aspects of the delivery process: speed, price, and courier call before delivery. To determine which factors most significantly influence customer satisfaction in LMD, structural equation modeling (SEM) was applied. The tested SEM model showed a good fit. The results indicated that within the LMD dimension, visual appeal was a significant predictor in a negative direction, and all other LMD dimensions (except parcel tracking) were positive and significant predictors of customer satisfaction. Trust in courier service, delivery price, speed, and courier call before delivery were statistically significant predictors of customer satisfaction in last-mile delivery, all in a positive direction.

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Section: Introductionmentioning

confidence: 99%

The Factors Influencing User Satisfaction in Last-Mile Delivery: The Structural Equation Modeling Approach

Vrhovac,

Dakić,

Milisavljević

et al. 2024

Mathematics

View full text Add to dashboard Cite

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An agent-based heuristics optimisation model for production scheduling of make-to-stock connector plates manufacturing systems

Madi,

Al-Bazi,

Buckley

et al. 2023

Soft Comput

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The manufacturing systems’ success directly relates to their accurate, reliable and flexible schedules, including how production is planned and scheduled and which constraints are considered in generating the schedules. The study's objective arises from the need to generate an optimal production scheduling system in a connecting plates manufacturing company that works on a Make-To-Stock basis. This research investigates the impact of demand and operational constraints on production schedules, including the facility capacity, operators and machines availability, raw materials availability, inventory level and warehouse capacity. A multi-agent-based optimisation model is developed to face the complexity of considering demand and operational constraints and reflects their impact on generating a reliable production schedule. This model involves a proposed heuristic algorithm that considers demand and operations constraints in such a manufacturing environment and optimises the production schedule based on these restrictions/requirements. A real-life case study based on a connecting plates manufacturer company is used as a test bench of the proposed agent-based heuristic optimisation model. The proposed algorithm is compared with other related approaches to check its superiority based on key criteria, including inventory levels, missed/unsatisfied orders and total production time. Results show that the proposed heuristics algorithm reduced the number of missed orders by 34% compared with similar approaches.

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Complex Production-Inventory Replenishment Problem With Uncertainty in Customer Behaviour

Cited by 2 publications

References 52 publications

The Factors Influencing User Satisfaction in Last-Mile Delivery: The Structural Equation Modeling Approach

The Factors Influencing User Satisfaction in Last-Mile Delivery: The Structural Equation Modeling Approach

An agent-based heuristics optimisation model for production scheduling of make-to-stock connector plates manufacturing systems

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