An Enterprise-ontology based Conceptual-modeling Grammar for Representing Value Chain and Supply Chain Scripts

2016 ◽  
pp. 119-137
Author(s):  
Wim Laurier ◽  
Geert Poels

In business modeling the focus is shifting from individual enterprises to the supply chains in which they collaborate. Contemporary business modeling grammars should allow each enterprise taking part in a supply chain to develop its own information system and at the same time support the creation of system interoperability and information sharing amongst business partners in the supply chain. This paper presents a conceptual modeling grammar for representing business scripts in a way that is both observer-dependent and independent. That is, value chain information should be represented in a format that is suitable for the perspective of any partner in the supply chain (e.g., enterprise, supplier, customer, customer's customer, supplier's supplier) and for the perspective of a completely neutral third party (e.g., government). The proposed observer-independent conceptual-modeling grammar, which is given strength by grounding it in the mature Resource-Event-Agent model, is shown to represent information about business phenomena of diverse supply chain partners such that it can be integrated across enterprise boundaries


Author(s):  
Wim Laurier ◽  
Geert Poels

In business modeling the focus is shifting from individual enterprises to the supply chains in which they collaborate. Contemporary business modeling grammars should allow each enterprise taking part in a supply chain to develop its own information system and at the same time support the creation of system interoperability and information sharing amongst business partners in the supply chain. This paper presents a conceptual modeling grammar for representing business scripts in a way that is both observer-dependent and independent. That is, value chain information should be represented in a format that is suitable for the perspective of any partner in the supply chain (e.g., enterprise, supplier, customer, customer's customer, supplier's supplier) and for the perspective of a completely neutral third party (e.g., government). The proposed observer-independent conceptual-modeling grammar, which is given strength by grounding it in the mature Resource-Event-Agent model, is shown to represent information about business phenomena of diverse supply chain partners such that it can be integrated across enterprise boundaries


2017 ◽  
Vol 20 (5) ◽  
pp. 615-622 ◽  
Author(s):  
Kate Phillips-Connolly ◽  
Aidan J. Connolly

The grocery store is ground zero in the tsunami of change facing Big Food. Consumers are changing how they relate to grocery stores, increasingly circling the perimeter, focusing on produce and preferentially choosing fresh, local, and new, even unknown, brands while spending less time in the processed food aisles in the center. The next generation, the millenials, are increasingly shunning traditional outlets when buying food. Traditional leading brands of processed food, backed by traditional marketing strategies (heavy advertising on traditional media, coupons, brand extensions, etc.) are failing to hold on to their customers. The challenges can be found throughout the food value chain, from new competitors for grocery providers to new delivery mechanisms, from changes in generational food preferences with social media platforms to express their preferences to farmers who increasingly can and want to communicate directly with the end-users who actually eat the food that they produce. This access to more information opens more options (and opportunities) to buyers and suppliers all along the food value chain. Barely 100 years old, the grocery store model is becoming obsolete, and with it the organization of the food value chain must be re-written. So what does that mean for Big Food and the food supply chain? What directions can the industry take to adjust to the new competitive realities? This paper offers direction and guidance for Big Food and other producers in the food supply chain.


2017 ◽  
Vol 12 (7) ◽  
pp. 115 ◽  
Author(s):  
MdAfzalul Aftab ◽  
Qin Yuanjian ◽  
Nadia Kabir

The successful implementation of push-pull supply chain management strategy has an important role in improving the competitiveness of an organization. The objective of a push-pull strategy is to minimize the holding of inventory level in finished form and rather produce finished goods from semi-finished inventory only upon receiving final order. One of the vital building blocks of push-pull supply chain strategy is postponement. The main objective of this review paper is to discuss the concept of postponement and its sub-categories such as product postponement and process postponement and their benefits. Then it is investigated how two prominent fast fashion retailers who are also categorized as original brand manufacturers in the apparel value chain apply the two variants of process postponement e.g. process standardization and process re-sequencing in their manufacturing operations to activate push pull supply chain strategy. The push-pull supply chain strategy in turn helps to reduce their order-to-delivery lead time to stores, reduce inventory holding level and minimize both physical costs and market mediation costs. The paper ends with concluding remarks. A framework is developed to illustrate the push-pull supply mechanism. This paper is a useful resource for practitioners in apparel supply chain willing to remove inefficiencies, costs and risks in their operations.


2018 ◽  
Vol 25 (9) ◽  
pp. 3541-3569 ◽  
Author(s):  
Ala Shqairat ◽  
Balan Sundarakani

Purpose The purpose of this paper is to investigate the agility of oil and gas value chains in the United Arab Emirates (UAE) and to understand the impact of implementing supply disruption (SD) strategies, outsourcing strategies (OS) and management strategies (MS) on oil and gas value chain agility (VCA). The results can support the oil and gas industry across the UAE to build resilience in the value chain. Design/methodology/approach The research design consists of a comprehensive literature review, followed by questionnaire-based survey responses of 106 participants and comprehensive statistical analysis, thus validate the developed theoretical framework and contribute to both practical and methodological approaches. Findings The findings indicate that oil and gas value chain in the UAE has moderate a significant degree of SD, when OS in place that are synchronized with the overall MS. Among the hypotheses developed, two were accepted thus warranting both SD strategies (r=+0.432) and MS (r= +0.457) found to have a positive moderate effect on VCA. The third hypothesis was rejected by revealing OS (r=+0.387) found to have a positive moderate relationship with VCA. Therefore, implementation of all three strategies has a positive moderate effect on the agility of the value chain and, therefore, supports to sustain competitive position. Research limitations/implications Some of the limitations of this research include the geographic coverage of the study region and other methodological limitation. Practical implications The research provides guidance for oil and gas supply chain managers to better understand the critical factors that impact and determine VCA. The paper also describes relevant strategies that should be taken into consideration by these managers in order to build their agile value chains. Social implications The research contributes to the social dimensions of supply chain sustainability of how resilient is the oil and gas value chain during uncertain conditions, so that it can respond to uncertain changes in order to contribute to corporate social responsibility. Originality/value This research is the first of its kind in the UAE region to assess the link between dimensions of agile value chain, OS, SD strategies and MS primarily from the Emirates of Abu Dhabi and Dubai.


2018 ◽  
Vol 25 (8) ◽  
pp. 2589-2610 ◽  
Author(s):  
Rakesh Raut ◽  
Bhaskar B. Gardas

PurposeThe reduction of food wastage at every stage of a fresh produce supply chain helps in achieving balance among all three dimensions (social, ecological and economic) of the sustainability and helps in stimulating the growth and development in the agricultural domain. The purpose of this paper is to address the causal factors of post-harvesting losses (PHLs) occurring in the transportation phase.Design/methodology/approachThrough exhaustive literature survey and expert opinions, 12 crucial barriers to sustainable transportation of fruits and vegetables (F&V) are identified. The interpretive structural modeling (ISM) methodology, a multi-criteria decision-making (MCDM) approach, is employed for developing a structural model of the identified barriers.FindingsThe results of the analysis highlighted that two factors, namely, the non-availability of refrigerated vehicles, and excessive loading on the vehicles, are the most significant barriers to sustainable transportation which are found to have the highest driving power.Research limitations/implicationsThe results of the present research are applicable to the F&V supply chains only. The established interrelation among the identified factors depends on the judgments given by the experts which could be biased. The developed ISM model is intended to guide the policy and decision makers for formulating the policies for the performance improvement of the fresh produce value chain.Originality/valueIt is the first research of its kind focusing on the model development of critical factors causing PHLs in the transportation phase of the agricultural fresh produce supply chain using MCDM process.


Author(s):  
Jon Manhire

High-value consumer markets are demanding a continuously higher quality of products and enhanced food safety. In association with this, the increasingly competitive global market place and developments in information technology have catalysed the establishment of closer relationships and co-operation between participants in high-value supply chains. These closer relationships enhance the flow of information between participants and their ability to introduce strategies to improve efficiencies in supply as well as to decrease risks to consumers and others in the supply chain. These trends have significant implications to New Zealand farmers who will need to adopt systems to more effectively monitor and record their use of inputs and subsequent farm and stock management and make this information available to those further down the value chain. An inability to respond to these trends may result in farmers as well as processors, limited to servicing only relatively lower value markets. Keywords: agricultural sector, information technology, New Zealand, supply chain integration, supply chain management


Author(s):  
Ratna Ekawati ◽  
Yandra Arkeman ◽  
Suprihatin Suprihatin ◽  
Titi Candra Sunarti

Today's modern supply chain represents a complex and real-time, organization, resource, activity, information, and data source that is involved in the distribution of products and services ranging from upstream to downstream of the supply chain. In the past 4.0 supply chain technology was not just a linear business function, but as the center of the main process of ecosystems that are in a blind spot chained by value. With information as a foundation in the decision-making process so that information can create integrated and efficiently coordinated supply chains. So that it can show continuity from planning to production, inventory, quality, and price control in each chain. An inefficient distribution that results in mistrust among stakeholders, because it has an impact on the decline and loss of value chain in quality and quantity. Integrity problems from the data collected were found in this study. These findings include the identification of various stakeholders, including farmers, importers to customers, and regulators, as well as their needs, which will be described through the use case, and BPMN. The results obtained are that the main actors (stakeholders) of the system are divided into farmers, importers, processing factories, headquarters, hauling services, and markets (customers) in the distribution of product information flow systems. Suggests tracking and tracing based on real-time data flow of product information coming from each actor in the sugar supply chain that is equipped with an accurate data distribution information support system.


Sign in / Sign up

Export Citation Format

Share Document