The impact of information sharing and coordination in make-to-order supply chain

2010 ◽  
Author(s):  
Wang Shanshan
Keyword(s):  
Supply Chain ◽  
Information Sharing ◽  
Make To Order ◽  
The Impact

On the Analysis of Supplier-Manufacturer Information Sharing Strategies for Production Scheduling

2011 ◽  
pp. 139-152
Author(s):  
Jairo R. Montoya-Torres ◽  
Gloria L. Rodríguez-Verjan
Keyword(s):  
Supply Chain ◽  
Information Sharing ◽  
Production Scheduling ◽  
Research Topic ◽  
Important Research ◽  
Make To Order ◽  
Important Research Topic ◽  
The One ◽  
The Impact ◽  
Collaboration Strategies

Nowadays, implementing collaboration strategies between the members of the supply chain has been an important research topic to obtain a more reactive and flexible supply chain in the highly competitive markets. However, few studies have been done on the impact of such collaboration strategies at one of the lower short-term decision levels: production scheduling. This paper is devoted to the study of information sharing between the members of a supply chain in a dynamic context. We consider a typical make-to-order direct sell supply chain without finished products inventory, similar to the one implemented by Internet PC sellers. We compare various scheduling algorithms implemented to study different scenarios of information sharing among the members of the chain. We have considered scenarios where no information is shared and scenarios where some or all information is shared. A simulation study is developed in order to get some insights about the impact of information sharing on the performance of the chain. Our results suggest improvement in the performance that shows the importance of collaboration and information sharing between the members of the chain.

scholarly journals Information Sharing in a Closed-Loop Supply Chain with Asymmetric Demand Forecasts

2017 ◽  
Vol 2017 ◽  
pp. 1-12 ◽  
Author(s):  
Pan Zhang ◽  
Zhongkai Xiong
Keyword(s):  
Supply Chain ◽  
Information Sharing ◽  
Closed Loop ◽  
Collection Efficiency ◽  
Demand Forecast ◽  
Closed Loop Supply Chain ◽  
Make To Order ◽  
Make To Stock ◽  
The Impact ◽  
Demand Forecasts

This paper studies the problem of sharing demand forecast information in a closed-loop supply chain with the manufacturer collecting and remanufacturing. We investigate two scenarios: the “make-to-order” scenario, in which the manufacturer schedules production based on the realized demand, and the “make-to-stock” scenario, in which the manufacturer schedules production before the demand is known. For each scenario, we find that it is possible for the retailer to share his forecast without incentives when the collection efficiency of the manufacturer is high. When the efficiency is moderate, information sharing can be realized by a bargaining mechanism, and when the efficiency is low, non-information sharing is a unique equilibrium. Moreover, the possibility of information sharing in the make-to-stock scenario is higher than that in the make-to-order scenario. In addition, we analyze the impact of demand forecasts’ characteristics on the value of information sharing in both scenarios.

The impact of information sharing on ordering policies to improve supply chain performances

2015 ◽  
Vol 82 ◽  
pp. 127-142 ◽  
Author(s):  
Francesco Costantino ◽  
Giulio Di Gravio ◽  
Ahmed Shaban ◽  
Massimo Tronci
Keyword(s):  
Supply Chain ◽  
Information Sharing ◽  
Ordering Policies ◽  
The Impact ◽  
Improve Supply Chain

MODELING THE IMPACT OF PARTIAL INFORMATION SHARING IN A THREE-ECHELON SUPPLY CHAIN

2013 ◽  
Vol 30 (05) ◽  
pp. 1350020 ◽  
Author(s):  
ZHUPING LIU ◽  
QIUHONG ZHAO ◽  
SHOUYANG WANG ◽  
JIANMING SHI
Keyword(s):  
Supply Chain ◽  
Numerical Analysis ◽  
Information Sharing ◽  
Partial Information ◽  
Autoregressive Coefficient ◽  
The Impact

This paper investigates the impact of partial information sharing in a three-echelon supply chain. Partial information sharing means that information sharing occurs only between the distributor and the retailer, but not between the distributor and the manufacturer. This paper contributes to the literature by summarizing the circumstances in which information sharing between the retailer and the distributor benefits the manufacturer. In addition, our study points out that such information sharing does not always bring benefits to the manufacturer and that in some cases the information sharing may harm the manufacturer. We explain the reasons why this can happen and give managerial intuition for our results. Using numerical analysis, we illustrate the impact of partial information sharing on the agents in the supply chain with the change of the autoregressive coefficient in the demand process.

scholarly journals Pricing Strategies of Multichannel Apparel Supply Chain Based on Showrooming and Information Sharing

2021 ◽  
Vol 2021 ◽  
pp. 1-23
Author(s):  
Shanshan Wang ◽  
Tian Luo ◽  
Daofang Chang
Keyword(s):  
Supply Chain ◽  
Information Sharing ◽  
Forecast Error ◽  
Forecast Accuracy ◽  
Service Level ◽  
Clothing Industry ◽  
Pricing Strategies ◽  
Information Barriers ◽  
The Impact ◽  
Share Information

This paper examines the influence of information forecast accuracy on the profits of the supply chain under the circumstance of a multichannel apparel supply chain. Due to the emergence of multichannel, customer showrooming behavior is becoming increasingly prevalent. For example, consumers usually buy garments online after experiencing the service in the traditional bricks and mortar in the clothing industry. Meanwhile, there are often information barriers between the manufacturer and the retailer, which will affect enterprise decision-making. To solve these problems, this paper mainly investigates the information sharing and customer showrooming phenomenon, which includes four models: no information sharing without showrooming model (NN), information sharing without showrooming model (SN), no information sharing with showrooming model (NS), and information sharing with showrooming model (SS). The numerical analysis shows that under the impact of the forecast error, information sharing between channel members is more favorable than no information sharing when parameters satisfy certain conditions. From the perspectives of the retailer, the manufacturer, and the whole supply chain, customer showrooming behavior will bring them less profit. These conclusions mean that the retailer should share information with the manufacturer and adjust their service level and sales price to alleviate the effect of showrooming.

scholarly journals Simulation Research on Information-Sharing Value of Two-Level Supply Chain

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Xiaheng Zhang ◽  
Zekai Lin ◽  
Lin Xiao
Keyword(s):  
Supply Chain ◽  
Performance Evaluation ◽  
Information Sharing ◽  
Chain Model ◽  
Simulation Research ◽  
Incentive Effect ◽  
Actual Evaluation ◽  
Demand Information ◽  
And Performance ◽  
The Impact

In the two-stage supply chain model, the incentive effect to the supplier’s sharing of demand information and performance evaluation and the effect of various parameters on the incentive effect of the supply chain are studied through a multiagent simulation model constructed for the purpose. It is found that the incentive coefficient of demand information-sharing degree, the number of selected suppliers, the order allocation coefficient, and the order proportion are positively related to the incentive effect of demand information sharing. So, the greater the demand information sharing is, the greater the impact of these parameters on the incentive effect is. Based on the demand information sharing, the supplier performance evaluation rules are shared, and when the actual evaluation rules are inconsistent with the supplier’s expectations, the incentive effect is further enhanced. Other parameters do not affect the incentive effect of demand information sharing and performance evaluation rule sharing.

Investigating the impact of inventory inaccuracy on the bullwhip effect in RFID-enabled supply chains using colored petri nets

2019 ◽  
Vol 14 (2) ◽  
pp. 360-384 ◽  
Author(s):  
Maria Drakaki ◽  
Panagiotis Tzionas
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Petri Nets ◽  
Information Sharing ◽  
Bullwhip Effect ◽  
Colored Petri Nets ◽  
Content Type ◽  
Multi Stage ◽  
The Impact ◽  
Serial Supply Chains

PurposeInformation distortion results in demand variance amplification in upstream supply chain members, known as the bullwhip effect, and inventory inaccuracy in the inventory records. As inventory inaccuracy contributes to the bullwhip effect, the purpose of this paper is to investigate the impact of inventory inaccuracy on the bullwhip effect in radio-frequency identification (RFID)-enabled supply chains and, in this context, to evaluate supply chain performance because of the RFID technology.Design/methodology/approachA simulation modeling method based on hierarchical timed colored petri nets is presented to model inventory management in multi-stage serial supply chains subject to inventory inaccuracy for various traditional and information sharing configurations in the presence and absence of RFID. Validation of the method is done by comparing results obtained for the bullwhip effect with published literature results.FindingsThe bullwhip effect is increased in RFID-enabled multi-stage serial supply chains subject to inventory inaccuracy. The information sharing supply chain is more sensitive to the impact of inventory inaccuracy.Research limitations/implicationsInformation sharing involves collaboration in market demand and inventory inaccuracy, whereas RFID is implemented by all echelons. To obtain the full benefits of RFID adoption and collaboration, different collaboration strategies should be investigated.Originality/valueColored petri nets simulation modeling of the inventory management process is a novel approach to study supply chain dynamics. In the context of inventory errors, information on RFID impact on the dynamic behavior of multi-stage serial supply chains is provided.

Impact of supply chain information sharing on performance of fashion enterprises

2019 ◽  
Vol 32 (6) ◽  
pp. 913-935 ◽  
Author(s):  
Caixia Chen ◽  
Tongyu Gu ◽  
Yuru Cai ◽  
Yixiong Yang
Keyword(s):  
Supply Chain ◽  
Organizational Performance ◽  
Information Sharing ◽  
Life Cycles ◽  
Equation Modeling ◽  
Content Type ◽  
Research Results ◽  
Fashion Brand ◽  
The Impact ◽  
The Relationship

Purpose The purpose of this paper is to develop a novel research model to examine the relationship among information sharing (IS), supply chain integration (SCI), operational performance (OP) and business performance (BP) in the fashion supply chains. Design/methodology/approach A survey of 247 executives from Chinese fashion brand firms was conducted and the data were analyzed to investigate how IS affects the organizational BP. Structural equation modeling (SEM) was applied to study the relationship among IS, SCI, OP and BP. Findings The empirical research results indicate that IS is critical to enhance the SCI and OP, and both SCI and OP exert mediating effects on BP of fashion brands. This result also reveals constructive suggestions that allow fashion brands to strengthen their SCI and OP, as well as BP. Research limitations/implications Multiple data sources were applied to develop the sampling frame, and respondents were selected (according to their experience and position) to ensure they had the knowledge and expertise to provide valid response. However, this could not guarantee the adequacy of the sample. This limitation is compounded by the reliance on a simple respondent per firm, which precludes testing for inter-rater reliability. Practical implications The empirical findings provide an enhanced understanding of the relationship among IS, SCI, OP and BP in Chinese fashion brand settings. The research results will help fashion brands to improve supply chain efficiency and enhance company performance. Originality/value Although previous studies have realized that the value of IS varies in different industries, few have specifically explored the impact on the fashion industry characterized by short life cycles, high volatility, low predictability and high impulse purchasing. To fill this knowledge gap, the present study employed a questionnaire survey and SEM techniques to explore the relationship among IS, SCI, OP and BP in the fashion supply chain. Comprehending the impact mechanism of IS on organizational performance can provide useful management insights into the development of effective strategies that allow enterprise to improve BP.

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