eng
Poznan School of Logistics
Logforum
1734459X
2021-03-30
17
1
article
Smart Factory: From concepts to operational sustainable outcomes using test-beds
Subramaniam Anbuchezhian Puviyarasu
1
Catherine da Cunha
1
Ecole Centrale de Nantes Laboratoire LSN, Nantes, France
Background: The concept of “Smart Factory” is a new paradigm. Past studies in literature point out several conceptual understandings of Smart Factory and their classifications. This paper answers the following scientific questions, where does the Smart Factory stand? What are its core characteristics and capabilities? What are the operational outcomes of the currently developed system? How can these pieces of equipment be integrated into an R&D methodology?
Methods: Smart factory test-beds are used as a supporting case for this research work. A top-down hierarchical methodology is used to review the recent studies and analysis of the Smart Factory test-beds. The study follows these different steps 1) Literature review on the Smart factory concept on recent studies 2) Reasoning to capture the key characteristics and capabilities from the current developments 3) Experimental investigations to analyze the performances and explicit the sustainable impacts of different cases.
Results: We present the Smart Factory “from the concept to operational outcomes”. The results stress: key characteristics, capabilities, influencing factors. Two case studies (literature and own investigation) illustrated the operational outcome and their sustainable impacts.
Conclusions: The presented framework summarizes the current body of knowledge of the Smart Factory from review to the operational outcomes.
http://www.logforum.net/vol17/issue1/no1/17_1_1_21.pdf
Smart factory
Industry 4.0
sustainability
Smart production and warehouse
Environmental impacts
eng
Poznan School of Logistics
Logforum
1734459X
2021-03-30
17
1
article
The role of organizational commitment in employee turnover in logistics activities of food supply chain
Ana Živković
1
Jelena Franjković
1
Davor Dujak
1
Josip Juraj Strossmayer University of Osijek, Osijek, Croatia
Background: Due to challenging times caused by the global pandemic and the common dynamic reality of contemporary food supply chains, logistics employees inevitably become the most valuable resource. Companies are forced to continuously monitor and forecast employee satisfaction and possib
http://www.logforum.net/vol17/issue1/no2/17_1_2_21.pdf
logistics activities
food supply chain
organizational commitment
employee turnover intention
structural equation modeling
eng
Poznan School of Logistics
Logforum
1734459X
2021-03-30
17
1
article
Inventory Management Strategies of Food Manufacturing Industries in a developing economy
Richard Kofi Opoku
1
Clifford Kevin Benedict Abboah
1
Rullmann Twi Owusu
1
University of Cape Coast, Cape Coast, Ghana
Background: Among the various food chain processes, inventory is regarded as the most important, complex and expensive. Inventory practically accounts for over 70% of food processing firms overall capital assets in both developed and developing economies. As such, its proper management is key to promoting the performance, growth and competitiveness of food processing firms and their supply chains. However, in developing economies notably Ghana, the strategies adopted by food processing firms in managing their inventories remains scanty and unclear. Thus, the aim of this article is to investigate the different inventory management strategies of manufacturing industries with focus on food processing firms in a developing economy in case of Ghana.
Methods: The study adopted the quantitative approach, descriptive design, and backed by the theory of constraints. It collects data through structured questionnaires from 104 food processing firms in Ghana and analysis was done using descriptive statistics (i.e. mean and standard deviation).
Results: The study’s results revealed that food processing firms in developing economies notably Ghana most prefer the Economic Order Quantity during inventory management; followed by Strategic Supplier Partnership and the Activity Based Costing strategies respectively.
Conclusions: This study’s findings contribute largely to empirical studies on inventory management of food processing firms in developing economies. The findings also inform policies and practices associated with inventory management, while facilitating the adoption of relevant inventory management strategies in food processing industries.
http://www.logforum.net/vol17/issue1/no3/17_1_3_21.pdf
inventory management strategies
just-in-time
economic order quantity
strategic supplier partnership
vendor managed inventory
activity based costing
eng
Poznan School of Logistics
Logforum
1734459X
2021-03-30
17
1
article
Cyber security in supply chain management: A systematic review
Mohd Nasrulddin Abd Latif
1
Nurul Ashykin Abd Aziz
2
Nik Syuhailah Nik Hussin
2
Zuraimi Abdul Aziz
2
Politeknik Mukah Sarawak, Sarawak, Malaysia
Universiti Malaysia Kelantan, Kelantan, Malaysia
Background: Cyber security of supply chain is a part of its safety measure that focuses on the management of the required cyber security that includes information technology systems, software, and networks. Supply chain management has a high risk of being threatened by cyber terrorism, malware and data-theft. Common supply chain cyber security activities are done to minimize risks including sole-purchase from trusted vendors, and disconnection of critical machines from external networks.
Methods: The main data sources for this study are research articles published from 2010 to 2020 in a peer-reviewed journal in the Web of Science and Scopus database. This study uses a systematic survey approach that is guided by PRISMA Statement, where the current study shows the trend of cyber research security in supply chain management.
Results: The final screening shows 41 identified related articles that are related to cyber security in supply chain management. This study also examined the publishing trends related to cyber security in supply chain management for both WOS and Scopus databases. The analysis shows that the highest publishing value was in 2019, coming from the Scopus database. In addition, four elements are covered in this study namely: (i) network security; (ii) information security; (iii) web application security and (iv) internet of things (IoT).
Conclusions: In brief, some suggestions are proposed to provide guidance for future researchers to study deeper about cyber security in supply chain management.
http://www.logforum.net/vol17/issue1/no4/17_1_4_21.pdf
systematic review
supply chain
cyber security
network security
information security
eng
Poznan School of Logistics
Logforum
1734459X
2021-03-30
17
1
article
Automatic simulation modelling of warehouses
Kamila Kluska
1
Poznan University of Technology, Poznań, Poland
Background: The goal of the paper is study on the possibility of using automation in simulation modeling of various types of warehouses, enabling quick verification of projects carried out in the area of storage. The paper outline the problem of simulation modeling of a complex storage system based on the concept of drawer racks designed by the company Zrembud located in Cieszyn, Poland. In order to properly evaluate the usefulness of the concept, the mechanism for modeling of both the drawer racking system and the highly popular row racking system was developed and adjusted to user without advanced simulations skills. The mechanism described in the paper is th
http://www.logforum.net/vol17/issue1/no5/17_1_5_21.pdf
rapid warehouse design
automated simulation modeling
drawer racks
simulation
warehouse
eng
Poznan School of Logistics
Logforum
1734459X
2021-03-30
17
1
article
Supply chain finance and challenges of modern supply chains
Kinga Pawlicka
1
Monika Bal
1
The Poznań University of Economics and Business, Poznań, Poland
Background: The cognitive goal of the article is to systematize the knowledge in the field of Supply Chain Finance (SCF) in the context of the leading contemporary trends and challenges of Supply Chain Management (SCM). For the purposes of the research objective, Walmart was selected for the case study as a model implementation example. In the authors’ assessment, there is a need to discuss and organize knowledge about the co-existence of SCF with modern solutions such as sustainable finance or blockchain technology. The empirical goal is to assess the sustainable supply chain finances management (SSCF) in terms of shaping the financial condition of the company and its position on the market.
Methods: To achieve the research objective, it was necessary to critically assess the present SCF literature and actual trends implemented in companies, which was done using case study method. The case study form was chosen due to the limited state of knowledge in a research area and the selected company is a precursor in this aspect. The research procedure consisted of: data collection, data analysis, formulating generalizations, confronting the literature, processing of generalizations and study closure.
Results: Conducted research helped to develop the existing theory and systematize effects and identify potential opportunities from implementing sustainable supply chain finances management based on blockchain technology. Analysis of financial data proved that benefits exceed implementation costs.
Conclusions: First, it was possible to develop an open-ended SCF benefit set, distinguished on the basis of varied literature. Second, implementing blockchain technology in the supply chain and drive to make it sustainable can be complementary activities. In summary, the authors formulate recommendations for other companies and indicate the direction of further research.
http://www.logforum.net/vol17/issue1/no6/17_1_6_21.pdf
supply chain finance
blockchain
sustainable supply chain
eng
Poznan School of Logistics
Logforum
1734459X
2021-03-30
17
1
article
Change readiness as a proposed dimension for Industry 4.0 readiness models
Mansoor Ahmed Soomro
1
Mohd Hizam-Hanafiah
1
Nor Liza Abdullah
1
Muhammad Shahar Jusoh
2
Universiti Kebangsaan Malaysia UKM, Selangor, Malaysia
Universiti Malaysia Perlis, Perlis, Malaysia
Background: Change readiness at organizational level is a key competence needed for Industry 4.0 readiness, and one of the most important critical success factors for managers in implementing Industry 4.0 initiatives.
Methods: This paper conducts a critical literature review of 184 peer-reviewed academic journals and industry reports from 1990 to 2019, and identifies 30 Industry 4.0 readiness models.
Results: A closer review of dimensions from these Industry 4.0 readiness models reveal that change readiness as a model dimension has not been sufficiently addressed. Supporting the conceptualization and operationalization of this new dimension, the literature review in this paper presents six change related dimensions, specifically change commitment factor, change efficacy, change management, individual fear of change, organizational change readiness and change leadership.
Conclusion: This study after critical analysis of the literature proposes change readiness as a new dimension for Industry 4.0 readiness models. Furthermore, in terms of future research, change readiness as a new dimension for studying Industry 4.0 readiness models offers valuable implications for individuals and organizations.
http://www.logforum.net/vol17/issue1/no7/17_1_7_21.pdf
change readiness
industry 4.0 readiness
fourth industrial revolution
critical analysis
literature review
eng
Poznan School of Logistics
Logforum
1734459X
2021-03-30
17
1
article
Moderating role of sustainable leadership in buyer-supplier relationships: a supply chain performance: an empirical study
Usama Awan
1
Syed Abdul Rehman Khan
2
School of Business and Management, Lappeenranta-Lahti University of Technology, Finland
Xuzhou University of Technology, Xuzhou, School of Economics and Management, Tsinghua University, Beijing, Chang’an University, Xi’an, China
Background: The field of the supply chain have narrowly focused upon the development of effecting buyer-supplier relationship to support social sustainability. Previously studies have analyzed the relationship between responsible leadership and environmental performance. This paper aims to test the impact of supplier relationship management on social performance under the moderating influence of sustainable leadership.
Methods: The purpose of this study is to examine the moderation role of sustainable leadership between buyer-supplier relationships and social performance improvements. Empirical data is collected from 224 respondents fro
http://www.logforum.net/vol17/issue1/no8/17_1_8_21.pdf
Buyer-supplier relationship; Social sustainability; Transformational leadership; Supply chain management
eng
Poznan School of Logistics
Logforum
1734459X
2021-03-30
17
1
article
A model for corporate social responsibility ranking on Iron ore mine companies by fuzzy cognitive mapping method
Mohsen Askari
1
Alireza Naser Sadrabadi
1
Seyed Heydar Mirfakhredini
1
Ali Morovati Sharifabadi
1
Yazd University, Yazd, Iran
Background: Due to the rising importance of our global interdependence, some concepts like corporate social responsibility (CSR) have a significant role in this dynamic and flourishing industry composed of lodging, transportation and so on. Accordingly; any small decisions or actions occurring in one of these centers, regardless of their direct effects on the desired sectors, can gradually have direct and indirect, hidden and obvious, as well as tangible and intangible impacts on all sectors in society and consequently lead to a series of actions and reactions in all levels and layers. Thus, the purpose of this study was to explain and rank factors affecting corporate social responsibility (CSR) of iron ore mining companies in Yazd Province, Iran. In addition, for the first time, the fuzzy FCM method has been used to rank corporate social responsibility
Methods: CSR indicators and dimensions were extracted using Content Analysis of interviews with expert groups from a total number of 9 iron ore mining companies in Yazd Province, Iran. Then, relations between the indicators were determined via Fuzzy Cognitive Map, and subsequently, they were ranked through FC Mapper. In the end, the intensity of the impact of the indicators on each other was calculated through Mic Mac.
Results: The obtained dimensions by Content Analaysis, included safety and health as well as legal, ethical, environmental, philanthropic, and economical. Indicators of "striving to reduce harm to the environment", "striving to reduce toxic and greenhouse gases", "increasing employee satisfaction and motivation", "developing and promoting community knowledge and culture" and "providing real-time information about The work and the disadvantages resulting from it" were ranked the highest in the ranking model. In the end, the intensity of the impact of the indicators on each other was calculated through Mic Mac that influential indicators were included "voluntary support of employees in social activities", "efforts to reduce toxic and greenhouse gases" and "transparency in contracts with contractors".
Conclusions: This research can be beneficial to government, researchers and organizations in helping them to understand indicators based corporate social responsibility in order to persuade them to do their commitment about society.
http://www.logforum.net/vol17/issue1/no9/17_1_9_21.pdf
Corporate Social Responsibility
Content Analysis
Fuzzy Cognitive Mapping
Mic Mac
eng
Poznan School of Logistics
Logforum
1734459X
2021-03-30
17
1
article
A software development application for sustainable airport performance analysis
Fahriye Merdivenci
1
Ramazan Erturgut
1
Artuğ Eren Coşkun
1
Akdeniz University, Antalya, Turkey
Background: In today’s rapidly changing global economy, airports have an important role in the social, cultural, and economic development of societies and in building bridges between interconnected markets. Sustainability requires a balance between economic, social, and environmental processes and performance-based progress in efforts on all three dimensions at an optimum level. Therefore, sustainable performance measurement and management is an important function for the control of airports. The suitability of investments in airports to respond to the increasing needs and expectations of the future can be realized through a rational structure that operates technologically, effectively, and efficiently. The need for this structure to be sustainable with above-average performance further increases the importance of the issue. This study aims to develop a sustainable performance software for airports by conducting a sustainable performance analysis based on multiple variables.
Methods: For sustainable performance analysis at airports, it is important to include economic, social, and environmental parameters, which are the three sub-dimensions of sustainability, in all strategic, tactical, and operational processes and decision-making mechanisms. For the performance analysis of airports, the DEMATEL Method, and the Objectives Matrix (OMAX) Method, which evaluates all the criteria together, were used to weight various performance indicators.
Results: The most important criterion at Antalya Airport, which is also the most affected by other criteria, is "economic". Sustainable performance scores of Antalya Airport for 2018 and 2019 were calculated. The airport's performance in 2019 is higher compared to 2018.
Conclusions: The biggest achievement of this research is thought to be developing a “Sustainable Performance Software” for national and international airports. This study will also contribute to the emergence of studies that will reveal the performances of other airports and compare their past performances with their current and national performances.
http://www.logforum.net/vol17/issue1/no10/17_1_10_21.pdf
airport
airport performance
sustainability
performance analysis
sustainable performance software
eng
Poznan School of Logistics
Logforum
1734459X
2021-03-30
17
1
article
THE IMPACT OF INITIAL DATA ON THE LOGISTICS PERFORMANCE INDEX ESTIMATION: ESTONIAN AND RUSSIAN STUDY
Jelizaveta Janno
1
Ekaterina Pavlovna Mochalina
2
Galina Vladimirovna Ivankova
2
Oksana Labanova
3
Marina Latonina
3
Elena Safulina
3
Anne Uukkivi
3
Tallinn University of Technology, Tallinn, Estonia
Plekhanov Russian University of Economics (PRUE), Moscow, Russia
Centre of Real Sciences TTK University of Applied Sciences, Tallinn, Estonia
Background: Logistics activities form a network of services that support the physical movement of goods, trade across borders, and commerce within borders. Well-functioning logistics, with its international trade and transport organisation, is a precondition of comprehensive national competitiveness. The World Bank (World Bank Group) Logistics Performance Index (LPI) is a unique benchmarking tool, used since 2007, providing logistics performance measurement for more than 160 countries. As the LPI is a crucial part of global efforts to understand better logistics performance in the context of increasingly complex supply chains, this indicator must be evaluated objectively and adequately. The current paper focuses on studying subjective aspects within current methodology with regards the possible impact of initial data on the LPI estimation. The research aims to ensure a more objective approach to global and cross-countries performance measurement by studying possible constraints mentioned above.
Methods: The paper presents a quantitative case study research strategy based on the evaluation of LPI in Estonia and Russia. The principal component analysis (PCA) as the primary method of analysis is a multivariate statistical technique that can help identify correlations between data points of the study. The primary data was collected by questioning representatives directly involved in the logistics sector by standardized questionnaire of the World Bank.
Results: The modified methodological approach for evaluating LPI draws attention to comprehensive generalization concerning the improved outcome of the score and the final position of both countries. As a criticism, the significant impact of the answer of just one uncommon respondent to the final score of the LPI can be pointed out.
Conclusions: Further research related to the issue of objective and more advanced estimation of LPI should be a continuous process with the focus on improving the quality of input data for the assessment. In addition to LPI as a primary measure, parallel use of alternative figure for evaluation of the development of logistics on a global scale.
http://www.logforum.net/vol17/issue1/no11/17_1_11_21.pdf
performance measurement
logistics performance index (LPI)
country-level logistics
principal component analysis (PCA)
initial data
eng
Poznan School of Logistics
Logforum
1734459X
2021-03-30
17
1
article
Assessing supply network complexity in maritime industry in Malaysia: inter-firms’ relations drives pattern of supply network structure
Lokhman Hakim Osman
1
Ahmad Raflis Che Omar
1
Suraiya Ishak
1
Universiti Kebangsaan Malaysia, Selangor, Malaysia
Background: Complexity has been an interesting research area for academics and businesses practices due to its relevance in determining the best practices and impacts to the supply network. The contribution of this research extend to the literature and put forward solutions for the industry since previous studies are neglecting whole network relations, which is highlighted as source of supply network complexity (SNC). Specifically, this research extends to enriching the literature and recommending solutions to the industry players since previous studies are neglecting important Inter Firm Relation (IFR) elements, formal inter-firm relation (FIFR) and informal inter-firm relations (IIFR), which are highlighted as a pertinent factor in this research. In this study, the Social Network Analysis (SNA) method was adopted to develop valid attribute for the measurement process and the embeddedness theory was used to evaluate the interrelationships among the proposed attributes. This study found that FIFR and IIFR have different effects towards the formation of SNS and consequently towards SNC. Finally, theoretical and industrial implications are also discussed.
Methods: Traditional statistical tools focus on attributes of phenomenon as determinants for occurrence of economic payoff. Thus, traditional statistical analysis is not suitable to measure the impact of relations or connections among member of network contributing to network complexity. For the purpose of this research, the Social Network Analysis methodology was adopted to collect, analyse and interpret network data. Network survey was conducted to collect relational data among members of maritime industry supply network. Network data was analysed and interpreted using specialized social network program i.e. UCINET and NETDRAW. Statistical network measures such as centralization and density was applied to determine the relations between network complexity and network relations.
Results: The findings of this study indicate that Inter Firm Relation (IFR), formal inter-firm relation (FIFR) and informal inter-firm relations (IIFR), which are highlighted as a pertinent factor in this research, have different effects towards the formation of SNS and consequently towards SNC.
Conclusion: The results of the statistical network analysis indicate that, network complexity exist in different forms and structure, depending on the type of relations that formed the network in the first place. Consequently, what these mean are, managing network requires different types of resource and strategy as the level of the network complexity are different at different states of connectivity.
http://www.logforum.net/vol17/issue1/no12/17_1_12_21.pdf
network analysis
information sharing
supply network
complexity