JIT-transportation problem and its algorithm

Guo-zhong, Bai; Gan, Xiao-Xiong

doi:10.1080/00207721003731603

Cited by 5 publications

(9 citation statements)

References 6 publications

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“…In this section JIT is referred to as Bai-Gan JIT, which describes both a mathematical model and an algorithm published in 2011 [6]. Let m, k, n ∈ N , where N is the set of natural numbers, be given.…”

Section: Bai-gan Jit Transportation Modelmentioning

confidence: 99%

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Developing Just-In-Time and Network Flow Models For Urban Snow Removal Problem

Bandpey

Tannouri

Brown

et al. 2021

Eur. J. Pure Appl. Math.

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Winter urban traffic issues and performance present critical problems in large cities and metropolitan areas. In urban areas, there is a critical need for efficient methods for snow removal while considering the impact on the transportation infrastructure of a city. Several proposals and approaches on modeling snow removal that heuristically deals with finding solutions to this wideopen problem have been studied and published in recent years. In this paper, we developed a new mathematical model that uses the Just-In-Time (JIT) method to optimize a transportation problem. The paperâ€™s main objective is to design a model for establishing efficient truck routes for snow removal by optimizing cost and time, which implicitly minimizes the impact on a cityâ€™s transportation infrastructure. We applied the network flow problem for snow removal to minimize time and cost of cleaning urban streets just in time. We ran several simulations of the models using the MATLABÂ®.

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Section: Bai-gan Jit Transportation Modelmentioning

confidence: 99%

“…This model requires that all demanded goods be transported to their destinations on schedule at zero or minimum destination storage and transportation cost [7]. The Bai-Gan JIT model was extended to tackle transportation problems in 2011 [6].…”

Section: Introductionmentioning

confidence: 99%

Developing Just-In-Time and Network Flow Models For Urban Snow Removal Problem

Bandpey

Tannouri

Brown

et al. 2021

Eur. J. Pure Appl. Math.

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“…Prioritizing time in the context of STP is exemplified by the study of the "Just-in-Time TP" (JTP). Bai et al [1] have developed the concept of Just-in-Time transportation problem along with an accompanying algorithm. Numerous researchers have delved into the concept of minimizing transportation time.…”

mentioning

confidence: 99%

“…• JIT Solid Transportation: Previous studies (c.f., [1], [5], [32], [21]) have emphasized the importance of JIT principles in optimizing transportation processes. Researchers (c.f., [1], [5], [32], [21]) have proposed various optimization models and algorithms to enhance efficiency, minimize waste, and improve delivery reliability. However, limited attention has been given to integrating budget constraints and environmental considerations into the JIT solid transportation framework.…”

mentioning

confidence: 99%

“…• Budget Constraints: The importance of considering budget constraints in transportation operations has been widely acknowledged. Researchers (c.f., [1], [5], [32], [21]) have explored cost optimization models, resource allocation strategies, and budget planning approaches. Nevertheless, the integration of budget constraints specifically into the JIT solid transportation context remains under explored.…”

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confidence: 99%

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Profit maximization multi-item Just-in-Time solid transportation problem with budget constraints based on carbon emission

Mardanya,

Roy

2024

JIMO

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This study combines multi-item Just-in-Time solid transportation problems, budget constraints, and carbon emissions with potential profit maximization. Carbon emissions and other greenhouse gas emissions from various modes of transportation cause air pollution and harmful changes in climate. Realizing the impact of time in real-life transportation problems, here we introduce the Just-in-Time concept that helps to find the optimal network for transporting goods from origin to destination on time. The model of multiitem Just-in-Time solid transportation problem based on carbon emission is formulated, and then an algorithm is developed under some priority-based approaches to obtain an optimal solution. To test and justify the efficiency of the proposed study, we include an example having two-fold priority: (i) first priority is to deliver goods within the scheduled time, and (ii) second priority is to maximize profit. Finally, the article ends with the conclusions and future study.

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