An innovative exact method for solving fully interval integer transportation problems

Akilbasha, A.; Pandian, P.; Natarajan, G.

doi:10.1016/j.imu.2018.04.007

Cited by 19 publications

(11 citation statements)

References 11 publications

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“…It should be noted that cost reduction includes a wide range of issues, one of which is tardiness that can reduce costs. Although industrial automation has an increasing impact on the industry as well as the OPS system, the studies reviewed from 2014 onwards [6,18,21,30,36,41,42,[50][51][52][53][54][55][56][57][58][59][60][61]64,[66][67][68][69] continued to focus directly on warehouse activities such as routing, batching, and assignment to reduce costs. This shows the importance of costs in the OPS process, so that in this study, 77% of cost-related studies were published from 2014 onwards.…”

Section: Discussionmentioning

confidence: 99%

“…Five main aspects defined in the order-picking process were included in 73 studies on implementing the combined planning process problem. Nineteen studies did not study these five categories and solely focused on ergonomics, cost, equipment, and storage space [2,4,6,9,28,32,56,57,63,65,66,68,69,[72][73][74][75][76][77]. Therefore, we can state that only 20% of the reviewed studies did not focus on the five main categories of research, indicating the importance of assignment, routing, batching, sequencing, and tardiness in the order-picking process.…”

Section: Study Of the Components Of The Order-picking Processmentioning

confidence: 99%

“…In addition, the workload balanced between the shippers is maintained. There were 27 articles that considered cost (Table 3) [6,13,15,16,18,21,30,36,41,42,50,51,[55][56][57][58][59][60][61][62][63][64][65][66][67][68][69]. Most of the cost-related studies focused on changes in the warehouse system, reductions in routes, improvements of the assignment process, changes in the shape and size of warehouses, travel times, and changes in warehouse design processes.…”

Section: Study Of the Components Of The Order-picking Processmentioning

confidence: 99%

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A Survey of the Literature on Order-Picking Systems by Combining Planning Problems

et al. 2021

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Companies have been trying continuously to reduce their logistics costs in the current competitive markets. Warehouses are important components of the logistics systems and they must be managed effectively and efficiently to reduce the production cost as well as maintain customer satisfaction. Order-picking is the core of warehouse operations and an order-picking system (OPS) is essential to meet customer needs and orders. Failure to perform the OPS process properly results in high costs and customer dissatisfaction. This research aims to investigate the state of the art in the adoption of OPS and provide a broad systemic analysis on main operating strategies such as simultaneous consideration of order assignment, batching, sequencing, tardiness, and routing need. This study reviews 92 articles, classifies combinations of tactical and operational OPS problems, and provides guidelines on how warehouse managers can benefit from combining planning problems, in order to design efficient OPS and improve customer service. Combining multiple order-picking planning problems results in substantial efficiency benefits, which are required to face new market developments.

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Section: Discussionmentioning

confidence: 99%

Section: Study Of the Components Of The Order-picking Processmentioning

confidence: 99%

Section: Study Of the Components Of The Order-picking Processmentioning

confidence: 99%

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A Survey of the Literature on Order-Picking Systems by Combining Planning Problems

et al. 2021

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“…Henriques and Coelho(2017) provided a short review of some interval programming techniques. Akilbasha et al(2018) proposed an innovative exact method for solving fully interval integer transportation problem. In this method they have considered mid-point and width of the interval.…”

Section: Introductionmentioning

confidence: 99%

A New Method to Solve Interval Transportation Problems

Quddoos

Habiba

2020

Pak.j.stat.oper.res.

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transportation problem (ITP) in which the cost-coefficients of the objective function, source and destination parameters are all in the form of interval. In this paper, the single objective interval transportation problem is transformed into an equivalent crisp bi-objective transportation problem where the left-limit and width of the interval are to be minimized. The solution to this bi-objective model is then obtained with the help of fuzzy programming technique. The proposed solution procedure has been demonstrated with the help of a numerical example. A comparative study has also been made between the proposed solution method and the method proposed by Das et al.(1999) .

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“…In 1984, Chanas et al [12] suggested fuzzy transportation problems. Since then many authors test the transportation problems in various fuzzy environments such as integer fuzzy [13], multi-objective [14,15], type-2 fuzzy [16][17][18][19], interval-valued fuzzy fractional [20], interval integer fuzzy [21], interval-valued intuitionistic fuzzy [22]. Moreover, we noticed that there are numerous methods to solve this transportation problem such as extension principle [23], ranking function [24], modified Vogel's approximation method [25], Simplex type algorithm [26], fuzzy linear programming [27], fuzzy Russell's method [28], modified best candidate method [29], zero point and zero suffix methods [30] and so on.…”

Section: Introductionmentioning

confidence: 99%

A Pythagorean fuzzy approach to the transportation problem

Kumar

Edalatpanah

Jha

et al. 2019

Complex Intell. Syst.

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This paper introduces a simplified presentation of a new computing procedure for solving the fuzzy Pythagorean transportation problem. To design the algorithm, we have described the Pythagorean fuzzy arithmetic and numerical conditions in three different models in Pythagorean fuzzy environment. To achieve our aim, we have first extended the initial basic feasible solution. Then an existing optimality method is used to obtain the cost of transportation. To justify the proposed method, few numerical experiments are given to show the effectiveness of the new model. Finally, some conclusion and future work are discussed.Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecomm ons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

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An innovative exact method for solving fully interval integer transportation problems

Cited by 19 publications

References 11 publications

A Survey of the Literature on Order-Picking Systems by Combining Planning Problems

A Survey of the Literature on Order-Picking Systems by Combining Planning Problems

A New Method to Solve Interval Transportation Problems

A Pythagorean fuzzy approach to the transportation problem

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