A single-stage supply chain system controlled by kanban under just-in-time philosophy

Wang, S.; Sarker, Bhaba R.

doi:10.1057/palgrave.jors.2601699

Cited by 17 publications

(10 citation statements)

References 21 publications

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“…Kanban systems play an important role in the production control that they tie various manufacturing processes together and improve the operations of the production process [15]. A literature review on just-in-time (JIT) manufacturing systems and kanban operations can be found in ( [16], [17], [18], and [19]).…”

Section: Literature Reviewmentioning

confidence: 99%

“…Many researchers have developed models with different methodologies. Wang and Sarker [15], [3], [20], Sarker and Balan [21] [22] have developed nonlinear programming models for optimizing the number of kanbans with the objective of minimizing the total cost of (single stage supply chain system (SSSCS), multi stage supply chain system (MSSCS) and assembly-type supply chain system (ATSCS)).…”

Section: Literature Reviewmentioning

confidence: 99%

“…To obtain general expression for the total cost function, TC ୫ of the whole supply chain syetem, equations (2), (4), (8), (10), (12) and (14) are combined to form this cost function as shown by Eq. (15). ( ( ( ( ) ) ) ) ( ( ( ( ) ) ) ) ( ( ( ( ) ) ) ) ( ( ( ( ) ) ) )…”

Section: Total Cost Of Multi-stage Supply Chainmentioning

confidence: 99%

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A Multi-Stage Supply Chain System Controlled by Kanban

Amer¹,

Attia²,

Baioumy³

2016

The International Conference on Applied Mechanics and Mechanica

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In reasons of the new working conditions and globalization, manufacturing organizations seek to reduce their production costs. One of the factors that affect production costs is the supply chain and inventorying costs. This research presents a model of multi-stage supply chain system that operates under just-in-time (JIT) policy and supplies a fixed quantity of finished products to single customer, at a fixed time interval. Raw materials enter into the manufacturing system from two different channels. The first is brought to a consolidation centre where several items from several long-distance suppliers are collected according to single ordering policy, divided into small shipments, and redirected according to multi-ordering policy to the manufacturing system. The second type includes raw materials that are brought from JIT delivery suppliers according to the multi-ordering policy. Inbound logistics of raw materials are managed by third-party logistics (3PL) firms to coordinate and consolidate the transportation flow. The deliveries of raw material from suppliers, the work-in-process in the production stages, and the finished goods are all controlled by kanbans. For this supply chain system, the batch size and the number of batches in each stage that is to be shipped by kanbans, and the total quantity over one period are to be determined optimally. The supply chain system is modelled as a nonlinear integer programming (NLIP) problem.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

See 1 more Smart Citation

A Multi-Stage Supply Chain System Controlled by Kanban

Amer¹,

Attia²,

Baioumy³

2016

The International Conference on Applied Mechanics and Mechanica

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“…Note that K is a nonnegative integer and z(K) is not continuously differentiable, so the optimal solution can be attained by using the method of marginal analysis, i.e., the inequality conditions z(K * -1) ≥ z (K * ) ≤ z(K * +1) [25].…”

Section: K Is the Number Of Kanban Containers Between Fus And Pusmentioning

confidence: 99%

Control of Crop Harvesting and Transport Process by Kanban Mechanism

Li¹,

Yi²,

Song³

et al. 2013

TOAUTOCJ

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Crop harvesting processes involve a number of interconnected logistical actives between different functional units. Delays are often experienced due to bad cooperation between heterogeneous cooperating machines. In order to increase the degree of coordination between harvesters and tractors, and eliminate non-value-adding wastes from such logistics processes, in this paper, a theoretical approach to the representation of how to build an agricultural field logistics control system with Kanban technique for crop harvesting operations has been presented. By aggregating crop harvesting and transport process into different stages, a single-stage Kanban control system for crop harvesting operations can be built under the JIT philosophy. It has been shown that the Kanban technique can be introduced to improve this type of transport logistics process. This will provide insights for the enhanced management of field logistics systems.

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“…The parameters were idle cost, wait time, production rates, in process inventory cost, and work orders. Wang and Sarker [5] published an article in which Abstract: Batch sizing strategy in the manufacturing system has significant impacts on the manufacturing performance. In the previous research studies, researchers proposed complicated techniques such as optimization models, queuing theory, simulation, and complex algorithms to solve for the optimal batch size to increase the production efficiency.…”

mentioning

confidence: 99%

Solving for an Optimal Batch Size for a Single Machine Using the Closed-form Equations to Minimize Inventory Cost

Ruangkanjanases

Vikitset²

2019

IJIE

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IntroductionIn the manufacturing system, batch sizing strategy has significant impacts on the production performance. The process with large batches usually has long lead time and large amount of finished goods inventory which incurs high inventory cost. Significant costs of inventory model are holding cost and setup cost [1].Numbers of studies in the past offered the approaches to find the optimal batch size that improves manufacturing efficiency such as minimizing costs, minimizing production lead time, and maximizing service quality.The approach to find the optimal batch size that minimized the total costs of raw materials ordering and finished goods inventory was developed by Parija and Sarker [2]. However, the cycle time interval between shipments or time intervals are fixed. Wang and Chen [3] proposed the new approach by modifying the cost function of Parija and Sarker to find the possible solutions. The simulation model in the supply chain system was applied to estimate the optimal batch size. Bertrand [4] published his development by extending the queuing model as well as the economic order quantity (EOQ) to find the optimal batch size in "made-to-stock" manufacturing system. However, the algorithm is an iterative procedure that the batch size is determined by adjusting the parameters for each iteration. The parameters were idle cost, wait time, production rates, in process inventory cost, and work orders. Wang and Sarker [5] published an article in which Abstract: Batch sizing strategy in the manufacturing system has significant impacts on the manufacturing performance. In the previous research studies, researchers proposed complicated techniques such as optimization models, queuing theory, simulation, and complex algorithms to solve for the optimal batch size to increase the production efficiency. Using those techniques are difficult for plant managers to calculate for the optimal batch size. Therefore, the closed-form optimal batch size equations are proposed to minimize inventory cost of 2 models. The first model is illustrated when the inventory cost is associated with holding cost but without setup cost. The second model is illustrated when inventory cost is associated with both holding cost and setup cost. Besides the optimal batch size calculation, the value of λ, which is the shadow price of the available setup time, is also solved for sensitivity analysis purpose. Application of the closed-form equation is provided with various parameters applied to different products. The results show that the proposed closed-form equations approach performs well and verifies the effectiveness of the approach.

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A single-stage supply chain system controlled by kanban under just-in-time philosophy

Cited by 17 publications

References 21 publications

A Multi-Stage Supply Chain System Controlled by Kanban

A Multi-Stage Supply Chain System Controlled by Kanban

Control of Crop Harvesting and Transport Process by Kanban Mechanism

Solving for an Optimal Batch Size for a Single Machine Using the Closed-form Equations to Minimize Inventory Cost

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