Filters

2013 - 201922020 - 20211
Reset filters

Settings

Publisher: Igi GlobalScopus Q: Q1

Search Results

Now showing 1 - 3 of 3
  • Thumbnail Image
    Article
    Citation - WoS: 2
    A Generic, Cloud-Based Representation for Supply Chains (sc's)
    (Igi Global, 2013) Akyuz, Goknur Arzu; Rehan, Mohammad
    As a very recent IT paradigm, Cloud Computing is gaining momentum and receiving more and more interest in literature. With various characteristics such as offering flexibility, cost reductions, platform independence and on-demand service, cloud approach opens up tremendous opportunities from Supply Chain (SC) perspective. However, extant literature reveals that adoption and assimilation of the technology is not mature in SC domain and cloud-based modelling initiatives are only recent. To fill this gap, this study discusses the opportunities of cloud computing from SC perspective and proposes a generic representation based on cloud philosophy. The proposed representation is conceptual, flexible and customizable, utilizing and highlighting the cloud benefits in a multi-partner setting. Therefore, this article is an answer to the research questions: "what are the opportunities of cloud philosophy for SC domain?" and "how can supply chains be represented generically based on cloud technology in multi-actor environment?". Contribution of this study lies in comprehensive treatment of cloud computing and supply chain intersection as well as the generic representation.
  • Thumbnail Image
    Article
    Citation - WoS: 10
    Citation - Scopus: 18
    An Ontology-Based Information Extraction System for Organic Farming
    (Igi Global, 2021) Abayomi-Alli, Adebayo Adewumi; Arogundade, Oluwasefunmi 'Tale; Misra, Sanjay; Akala, Mulkah Opeyemi; Ikotun, Abiodun Motunrayo; Ojokoh, Bolanle Adefowoke
    In the existing farming system, information is obtained manually, and most times, farmers act based on their discretion. Sometimes, farmers rely on information from experts and extension officers for decision making. In recent times, a lot of information systems are available with relevant information on organic farming practices; however, such information is scattered in different context, form, and media all over the internet, making their retrieval difficult. The use of ontology with the aid of a conceptual scheme makes the comprehensive and detailed formalization of any subject domain possible. This study is aimed at acquiring, storing, and providing organic farming-based information available to current and intending software developer who may wish to develop applications for farmers. It employs information extraction (IE) and ontology development techniques to develop an ontology-based information extraction (OBIE) system called ontology-based information extraction system for organic farming (OBIESOF). The knowledge base was built using protege editor; Java was used for the implementation of the ontology knowledge base with the aid of the high-level application programming language for working web ontology language application program interface (OWLAPI). In contrast, HermiT was used to checking the consistencies of the ontology and for submitting queries in order to verify their validity. The queries were expressed in description logic (DL) query language. The authors tested the capability of the ontology to respond to user queries by posing instances of the competency questions from DL query interface. The answers generated by the ontology were promising and serve as positive pointers to its usefulness as a knowledge repository.
  • Thumbnail Image
    Article
    Citation - WoS: 2
    A Generic, Multi-Period and Multi-Partner Cost Optimizing Model for Cloud-Based Supply Chain
    (Igi Global, 2016) Akyuz, Goknur Arzu; Rehan, Mohammad
    Cloud technology in a multi-enterprise, collaborative context is one of the most promising topics at IT-Supply Chain (SC) intersection. Cloud comes with well-proven advantages and cost savings; enabling collaboration and business intelligence. Cloud transition is still on-going with individual enterprise-level transitions. However, collaborative paradigm dictates that entire network well-being is to be considered over enterprise-level concerns. Thus, handling the transition of a single enterprise is not sufficient for strategic network leverage. Planning and managing across multiple enterprises is required, taking into consideration various cost items and budget constraints. In this study, a multi-period multi-partner cost-optimizing model is developed for network-level management of cloud transition for a SC. The model produces an optimal transition plan, indicating timing of the transition for each partner to obtain the maximum cost savings across network over a specified planning horizon. The model proposed is generic, flexible and customizable for different sectors/settings.