EPCIS-Based Supply Chain Event Management &amp;#150; A Quantitative Comparison of Candidate System Architectures

Tribowski, Christoph; Goebel, Christoph; Günther, Oliver

doi:10.1109/cisis.2009.47

Cited by 12 publications

(5 citation statements)

References 4 publications

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“…Otto 2003). Meanwhile, in German-speaking countries, it has received more attention, albeit still in an insufficient depth (Straube et al 2007;Tribowski et al 2009). The lack of attractiveness is partly attributable to the popularity of a more mature, neighboring discipline: Supply chain risk management (SCRM).…”

Section: Literature Reviewmentioning

confidence: 99%

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Modeling the Basic Cause-Effect Relationship Between Supply Chain Events and Performance

Heinecke

Köber

Künz

et al. 2013

Dynamics in Logistics

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The increased integration of global supply networks with a reduction in stock and time buffers has raised their vulnerability to disturbances (i.e. events) that erode efficiency and competitiveness. The complex interrelationships in these networks lead to a cascade of knock-on effects that affect company performance in varying degrees. Hence, causality analysis is the key for early identification of critical events. To this end, a dynamic model is developed in this contribution. It describes the basic cause-effect relationship between events, their knock-on effects and company-internal performance indicators. To make the complexity of this task manageable, an effects-based classification of events is delineated from the EPCIS format. The utility and functionality of the model is illustrated on two examples. It is proposed that it serves as a basic outline for the logic foundation of the discovery component of supply chain event management (SCEM) systems.

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Section: Literature Reviewmentioning

confidence: 99%

“…It is the practice of observing, prioritizing and reacting to events that occur during the operation of a supply chain (Tribowski et al 2009). Events in this context can be defined as disturbances that impede, in varying degrees, the execution of supply chain processes as they were originally scheduled.…”

Section: Introductionmentioning

confidence: 99%

Modeling the Basic Cause-Effect Relationship Between Supply Chain Events and Performance

Heinecke

Köber

Künz

et al. 2013

Dynamics in Logistics

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show abstract

“…After IT solutions, another technology that can help in the integration of information all along the SC is Radio Frequency Identification (i.e., RFiD); this technology is demonstrated to help in the standardization of the supply chain and in SC Event Management (SCEM) (Tribowski et al, 2009). Another hypothesis at the base of our model is that this technology is adopted in the proposed centralised coordination mechanisms.…”

Section: Investigating Scs Trends In Literature Referencesmentioning

confidence: 99%

The role of uncertainty in supply chains under dynamic modeling

Fera¹,

Fruggiero²,

Lambiase³

et al. 2017

10.5267/j.ijiec

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The uncertainty in the supply chains (SCs) for manufacturing and services firms is going to be, over the coming decades, more important for the companies that are called to compete in a new globalized economy. Risky situations for manufacturing are considered in trying to individuate the optimal positioning of the order penetration point (OPP). It aims at defining the best level of information of the client's order going back through the several supply chain (SC) phases, i.e. engineering, procurement, production and distribution. This work aims at defining a system dynamics model to assess competitiveness coming from the positioning of the order in different SC locations. A Taguchi analysis has been implemented to create a decision map for identifying possible strategic decisions under different scenarios and with alternatives for order location in the SC levels. Centralized and decentralized strategies for SC integration are discussed. In the model proposed, the location of OPP is influenced by the demand variation, production time, stock-outs and stock amount. Results of this research are as follows: (i) customer-oriented strategies are preferable under high volatility of demand, (ii) production-focused strategies are suggested when the probability of stock-outs is high, (iii) no specific location is preferable if a centralized control architecture is implemented, (iv) centralization requires cooperation among partners to achieve the SC optimum point, (v) the producer must not prefer the OPP location at the Retailer level when the general strategy is focused on a decentralized approach.

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“…The benefits expected from advanced supply chain applications (e.g. SCEM [13], efficient product recalls [14], or product authentication [15]) can only be realized if RFID data is collected, stored, and made accessible along the supply chain and not just within retail stores. To date, the academic literature investigating the economic incentives for using item-level RFID along the supply chain is sparse.…”

Section: Introductionmentioning

confidence: 99%

Strategic aspects of cross-company item-level RFID usage — A game theoretic analysis

Goebel

Günther

2010

2010 Internet of Things (IOT)

Self Cite

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We propose an economic supply chain model that accounts for typical inefficiencies resulting from low visibility of the flow of consumer goods. Using realistic numerical input values for the model, we illustrate how the profit distribution among manufacturer and retailer changes as item-level RFID is used for different purposes along the consumer goods supply chain. Applying basic Game Theoretic tools, we analyze the incentives of manufacturers and retailers to use item-level RFID cooperatively. Our results suggest that, if RFID helps to prevent typical supply chain inefficiencies such as delivery errors and replenishment inefficiencies, a full and cooperative RFID rollout is the most likely outcome of the "RFID usage game".

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EPCIS-Based Supply Chain Event Management  A Quantitative Comparison of Candidate System Architectures

Cited by 12 publications

References 4 publications

Modeling the Basic Cause-Effect Relationship Between Supply Chain Events and Performance

Modeling the Basic Cause-Effect Relationship Between Supply Chain Events and Performance

The role of uncertainty in supply chains under dynamic modeling

Strategic aspects of cross-company item-level RFID usage — A game theoretic analysis

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EPCIS-Based Supply Chain Event Management &#150; A Quantitative Comparison of Candidate System Architectures

Cited by 12 publications

References 4 publications

Modeling the Basic Cause-Effect Relationship Between Supply Chain Events and Performance

Modeling the Basic Cause-Effect Relationship Between Supply Chain Events and Performance

The role of uncertainty in supply chains under dynamic modeling

Strategic aspects of cross-company item-level RFID usage &#x2014; A game theoretic analysis

Contact Info

Product

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About

EPCIS-Based Supply Chain Event Management A Quantitative Comparison of Candidate System Architectures

Strategic aspects of cross-company item-level RFID usage — A game theoretic analysis