KMITL

Permanent URI for this communityhttps://dspace.kmitl.ac.th/handle/123456789/1

Browse

Search Results

Now showing 1 - 9 of 9

Some of the metrics are blocked by your
consent settings
Supply chain management efficiency for the Andrographis paniculata (Burm. f.) Wall. ex Nees of the Bandongbang community enterprise in Prachinburi province, Thailand
(2024-07-01)
Lertpairat, S.
;
Suwanmaneepong, S.
;
Llones, C.
;
Mankeb, P.
The results showed that primary producers in the upstream supply chain, farmers engaged in systematic cultivation and collaborative planning with the Chaopraya Abhayabhubesorn Hospital Foundation. A two-year Memorandum of Understanding (MOU) instils farmers’ confidence in Andrographis paniculata cultivation. Supply chain operations reference (SCOR) based on practices that exhibited a moderate level of implementation, reflecting a balanced approach. In the midstream supply chain, effective planning aligns production capacity with customer demand, ensuring the availability of quality inputs at fair prices. The midstream supply chain excels in product collection, on-time delivery, and structural damage control protocols. The Chaopraya Abhayabhubesorn Hospital Foundation played a crucial role in the downstream supply chain. Their strategy balanced production resources to effectively meet market demand. MOUs with various members, stringent quality checks, and defined return protocols to ensure product quality. In conclusion, the study found effective supply chain practices. It underscored the importance of stakeholder collaboration in optimizing A. paniculata production and distribution. Relevant government agency support for SCOR-based supply chain management practices could help to enhance the overall sustainability and efficiency of A. paniculata among community enterprises.
Some of the metrics are blocked by your
consent settings
Simulating the Impact of Defective Rates on the Bullwhip Effect in a Supply Chain: A Reciprocating Compressor Manufacturing Case Study with Exponential Smoothing Forecasting
(2024-01-01)
Rattanapuchong, Pradthana
;
Sooksaksun, Natanaree
;
Sirikasemsuk, Kittiwat
This study was dedicated to simulating the impact of defective rates on the bullwhip effect within the context of a supply chain, with a specific focus on a case study involving reciprocating compressor manufacturing. The supply chain configuration encompassed a distributor, a factory, customer, and a remanufacturer. Customer demand was forecasted utilizing the exponential smoothing method, while an order-up-to inventory policy was implemented. The results unveiled a direct correlation between an increase in defective rates and a heightened bullwhip effect. Moreover, the study demonstrated that an elevation in the average yield rate corresponded to a mitigation of the bullwhip effect.
Some of the metrics are blocked by your
consent settings
Measure and analysis of the bullwhip effect in supply chain when demand correlation exists between two market groups under the first-order moving-average demand processes
(2018-01-01)
Sirikasemsuk, Kittiwat
;
Sirikasemsuk, Sarawut
With supply chains becoming increasingly global, the issue of bullwhip effect, a phenomenon attributable to demand fluctuation in the upstream section of the supply chains, has received greater attention from many researchers. The phenomenon in which the variation of upstream members' orders is amplified than the variation of downstream members' demands in the supply chain is called the bullwhip effect (BWEF). Most of existing research studies did not realize the demand dependency of market demands. Thus, this research focused on the study of the influence of the demand correlation coefficient between two market groups on the BWEF. The incoming demand processes are assumed the separate first-order moving-average, [MA(1)] demand patterns. The scope of the supply chain structure used in this research is composed of one manufacturer and two distribution centers. The general result reveals that the coefficient of correla-tion is one of several factors affecting the BWEF.
Some of the metrics are blocked by your
consent settings
Measure of bullwhip effect in supply chains with first-order bivariate vector autoregression time-series demand model
(2017-02-01)
Sirikasemsuk, Kittiwat
;
Luong, Huynh Trung
With supply chains becoming increasingly global, the issue of bullwhip effect, a phenomenon attributable to demand fluctuation in the upstream section of the supply chains, has received greater attention from many researchers. However, most existing research studies on quantifying the bullwhip effect were conducted under the first-order autoregressive [AR(1)] incoming demand process or its variants as the fundamental demand process, thereby failing to account for the retailer demand dependency. This research work thus examined the bullwhip effect for the first-order bivariate vector autoregression [VAR(1)] demand process in a two-stage supply chain consisting of one supplier and two retailers. The impacts of the correlation parameters of the demand process, the correlation coefficient between the two error terms, and the variances of the error terms on the bullwhip effect were investigated. As such, the measure of the bullwhip effect was established using an analytical approach in which the minimum mean square error (MMSE) forecasting method and the base stock policy were applied to all members of the supply chain. Numerical experiments were then conducted to illustrate the behavior of the bullwhip effect with respect to various parameters of the demand processes to see in which situations the bullwhip effect would be absent. In addition, an evaluation of the inventory variance ratio was analyzed.
Some of the metrics are blocked by your
consent settings
Impact of order splitting on bullwhip effect in supply chain: Case of identical lead time at distributors-retailer links
(2014-01-01)
Sirikasemsuk, Kittiwat
This research work attempts to establish the bullwhip effect measure under the dual sourcing environment in which the lead time periods of two distributors to fulfill the retailer's orders are identical. Our model was based on the simple three-echelon supply chain with one supplier, two distributors and one retailer for a stationary first-order autoregressive, i.e., AR(1), incoming demand process. It was assumed that the minimum mean-square error forecasting technique and the orderup- to inventory policy were employed in all stages. The impacts of the autoregressive coefficient, the replenishment lead time and the proportion of order quantities placed by the retailer with the two distributors were investigated. A detailed comparison of the bullwhip effect of dual sourcing and that of single sourcing was also provided. © (2014) Trans Tech Publications, Switzerland.
Some of the metrics are blocked by your
consent settings
A deployment of RFID for manufacturing and logistic
(2013-08-01)
Choeysuwan, Patcharaporn
;
Choomchuay, Somsak
Widespread adoption of Radio Frequency Identification System (RFID) has been widely used to develop and improve the Supply chain management. The Logistic control system has been focused in this work. In details, the system emphasizes at packaging, inventory and warehouse utilization that actually holds a good impact to final packing process and shipping process. The RFID hardware's specification are UHF frequency at 860-930 MHz on ISO/IEC 18000-6C Class 1 Gen 2 which well known to utilize in supply chain management. Data stored in the tag are the compressed version of all pieces inside the box. No indexing is further needed as required by the conventional barcode system. For the analysis of business deployment, an economic analysis tool is employed. The Net Present Value (NPV) of 5 year-period has been carried out for the purpose of medium-term to long-term investment. © 2013 Springer Science+Business Media Dordrecht(Outside the USA).
Some of the metrics are blocked by your
consent settings
Impact of time and costs when determining batch size in a supply chain
(2009-11-01)
Masuchun, Ruedee
;
Tirasesth, Kitti
;
Thepmanee, Teerawat
;
Masuchun, Wiboon
;
Shi, Yan
This paper addresses planning a set of jobs on a sequence of machines considering the possibility of producing and delivery in batches either to other stages for further processing or to customers in a supply chain network. Determining batch size at each stage unavoidably is of importance at this point. Using large batch size can put away some costs but time is wasted as trade-off. Small batch size can speed up the process but certain costs are increasing. To represent both time and costs aspects, a nonlinear integer mathematical model with the objective function of minimizing both time and costs simultaneously is studied and applied to determine (production) batch size to match up the flow of production at manufacturer with the demand required at retailers and appro- priate means of shipment (transfer batch size). In view of the fact that time and costs are different in units; this paper furthermore investigates the relationship between them through varying coefficients and parameters. Since this problem is classically NP-hard at each stage of supply chain; the acceptable production and transfer batch sizes are obtained using the advantage of random search approach. The numerical illustrations and results substantiate that the model proposed is useful to simultaneously consider both time and costs when determining batch size at each stage in a supply chain network and it is not necessary to use the same batch size when manufacturing and transferring. Moreover, we found that the conversion factor is statistically robust to the objective function value when the ratio of the production time over the setup time is not high. © 2009 ISSN.
Some of the metrics are blocked by your
consent settings
Advanced planning for multi-product across a supply chain
(2009-04-23)
Masuchun, Ruedee
;
Petchmaneelumka, Wandee
This paper presents a linear integer programming model to plan the production for multiple products. The production is planned using information shared across a supply chain. The advantage of information sharing has been proved from research that it can make the whole supply chain globally visualized and yet decreasing in variability on the supply chain. The objective function of the proposed model is to minimize the total costs involved including the production costs, the distribution costs, the setup costs of manufacturing, and the fixed costs of distributing. From previous research, one more restriction which is limitation of distribution centers has been added to make the model more realistic. Numerical results verify that this model can be used to generate feasible and optimal plans for multiple products across the supply chain. © 2009 IEEE.
Some of the metrics are blocked by your
consent settings
System for supply network management
(2006-12-01)
Masuchun, Wiboon
;
Davis, Steve
;
Rangsaritratsamee, Ruedee
Strategies and algorithms for operational planning and control are quite important to successful operations of a supply network. Implementation of a strategy requires substantial information system support, but few detailed designs of such systems have appeared in the literature. We designed an information system for a centralized management concept that could handle any type of strategy or algorithm. We developed algorithms for two different strategies deemed important by researchers and practitioners, push and pull, and implemented them in system modules. This information system performed well in simulations of the management of operations of an example six-stage supply network. This system provides an example for operational development as well as a platform for laboratory experiments. © Springer Science + Business Media, LLC 2006.

KMITL

Browse

Filters

Settings

Sort By

Results per page

Search Results