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1 – 2 of 2Seyed Mohammad Hadi Baghdadi, Ehsan Dehghani, Mohammad Hossein Dehghani Sadrabadi, Mahdi Heydari and Maryam Nili
Spurred by the high turnover in the pharmaceutical industry, locating pharmacies inside urban areas along with the high product perishability in this industry, the pharmaceutical…
Abstract
Purpose
Spurred by the high turnover in the pharmaceutical industry, locating pharmacies inside urban areas along with the high product perishability in this industry, the pharmaceutical supply chain management has recently gained increasing attention. Accordingly, this paper unveils an inventory-routing problem for designing a pharmaceutical supply chain with perishable products and time-dependent travel time in an uncertain environment.
Design/methodology/approach
In this study, mathematical programming is employed to formulate a multi-graph network affected by the traffic volume in order to adapt to real-world situations. Likewise, by transforming the travel speed function to the travel time function using a step-by-step algorithm, the first-in-first-out property is warranted. Moreover, the Box–Jenkins forecasting method is employed to diminish the demand uncertainty.
Findings
An appealing result is that the delivery horizon constraint in the under-study multi-graph network may eventuate in selecting a longer path. Our analysis also indicates that the customers located in the busy places in the city are not predominantly visited in the initial and last delivery horizon, which are the rush times. Moreover, it is concluded that integrating disruption management, routing planning and inventory management in the studied network leads to a reduction of costs in the long term.
Originality/value
Applying the time-dependent travel time with a heterogeneous fleet of vehicles on the multi-graph network, considering perishability in the products for reducing inventory costs, considering multiple trips of transfer fleet, considering disruption impacts on supply chain components and utilizing the Box–Jenkins method to reduce uncertainty are the contributions of the present study.
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Maryam AlQasmi and Kamla Ali Al-Busaidi
This study aims to investigate the most effective enablers and tools for inhabitants’ knowledge acquisition in public policymaking organizations.
Abstract
Purpose
This study aims to investigate the most effective enablers and tools for inhabitants’ knowledge acquisition in public policymaking organizations.
Design/methodology/approach
Based on a literature review, the study summarized 51 individual, organizational, technological and inhabitant-related enablers of inhabitants’ knowledge acquisition, as well as 36 technological and social tools. The study assessed the effectiveness of these enablers and tools based on two rounds of a Delphi study targeting 31 policymakers in the Gulf Cooperation Council (GCC) countries. Kendall’s coefficient of concordance was assessed to determine consensus among participating policymakers.
Findings
The findings indicate that the most effective enablers were inhabitants’ willingness to get involved, information technology (IT) infrastructure, IT staff support and inhabitants’ trust in policymakers. Additionally, the study found that the most effective tools for inhabitants’ knowledge acquisition included meetings, interviews, social media and field visits.
Originality/value
Inhabitants’ knowledge acquisition is an important social and economic force that will drive change in any society by enabling the implementation of innovative ideas and practices. A review of the relevant research shows that despite the usability of inhabitants’ knowledge, the degree to which inhabitants’ knowledge acquisition is integrated into the public policymaking system remains unclear. This study of inhabitants’ knowledge acquisition from the policymaker perspective provides a better understanding of the inhabitants’ knowledge acquisition process in policymaking organizations.
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