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    Wyświetlanie 1-4 z 4
    Tytuł:
    Modelling the distribution performance in dairy industry: a predictive analysis
    Autorzy:
    Mor, Rahul S.
    Bhardwaj, Arvind
    Singh, Sarbjit
    Khan, Syed Abdul Rehman
    Powiązania:
    https://bibliotekanauki.pl/articles/1835473.pdf
    Data publikacji:
    2021
    Wydawca:
    Wyższa Szkoła Logistyki
    Tematy:
    distribution performance
    food supply chain
    dairy industry
    structural equation modelling
    SEM
    predictive analysis
    wydajność dystrybucji
    łańcuch dostaw żywności
    przemysł mleczarski
    modelowanie równań strukturalnych
    analiza predykcyjna
    Opis:
    Predictive analysis is a vital element to operations management as it facilitates real-time decision making and advanced planning on both strategy and performance. This paper identifies predictors to measure distribution performance in the dairy industry and to establish their importance. Methods: A distribution model is developed through exploratory structural equation modelling (SEM) techniques. The key performance predictors are marketing and distribution management, quality management, supply chain coordination, and brand management, which account for 71.5% of the variability in distribution performance. Results and conclusion: The predictors help improving the distribution performance, specifically in quality, order fill rate, and food safety. The outcomes of this research can help dairy professionals in managing their distribution channels, improving traceability, on-time delivery, and shipment accuracy. Consequently, these factors can improve distribution performance. Four predictors are elicited from the data to estimate the distribution performance and the relative importance of predictors is also established.
    Źródło:
    LogForum; 2021, 17, 3; 425-440
    1734-459X
    Pojawia się w:
    LogForum
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Hospital selection under Insured Public Health Schemes in the multi-criteria group decision-making environment
    Autorzy:
    Dev, Manimay
    Kumar, Dinesh
    Mor, Rahul S.
    Powiązania:
    https://bibliotekanauki.pl/articles/23966541.pdf
    Data publikacji:
    2022
    Wydawca:
    Stowarzyszenie Menedżerów Jakości i Produkcji
    Tematy:
    opieka zdrowotna
    podejmowanie decyzji wielokryterialnej
    IFWA
    healthcare
    Ayushman Bharat
    intuitionistic fuzzy-TOPSIS (IF-TOPSIS)
    Opis:
    A thriving healthcare system perfectly reflects economic development and contentment amongst the people of any region. With increasing anxiety concering health and growing medical needs, hospitals worldwide face substantial challenge to provide patients with adequate medical facilities under one roof. With a fragile state of the health industry in a developing country like India, there is a need for the hospitals to opt for international standards and comply with other premier health centers of the country. This paper aims to select the hospitals based on incongruous and conflicting criteria involving group decision-making using the Intuitionistic Fuzzy (IF) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method. The criteria used are concomitant to an insured public health scheme named Ayushman Bharat-National Health Protection Scheme (AB-NHPS) of the Government of India. For each alternative Euclidean distance has been used to calculate the positive and negative separation measure from the ideal solution. The relative closeness to the ideal solution has been used to rank the hospitals. The result is a list of hospitals ranked from best to worst based on the laid criteria. It can aid governing bodies in decision-making under an uncertain environment with multiple complex criteria to analyze.
    Źródło:
    Production Engineering Archives; 2022, 28, 1; 1--11
    2353-5156
    2353-7779
    Pojawia się w:
    Production Engineering Archives
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Agri-Food 4.0 and Innovations: Revamping the Supply Chain Operations
    Autorzy:
    Dadi, Vasavi
    Nikhil, Suryadevara Ram
    Mor, Rahul S.
    Agarwal, Tripti
    Arora, Sapna
    Powiązania:
    https://bibliotekanauki.pl/articles/1839538.pdf
    Data publikacji:
    2021
    Wydawca:
    Stowarzyszenie Menedżerów Jakości i Produkcji
    Tematy:
    technologie cyfrowe
    przemysł rolno-spożywczy
    innowacje
    sztuczna inteligencja
    internet przedmiotów
    digital technologies
    agri-food industry
    innovations
    artificial intelligence AI
    internet-of-things (IoT)
    Opis:
    The agri-food sector contributes significantly to economic and social advancements globally despite numerous challenges such as food safety and security, demand and supply gaps, product quality, traceability, etc. Digital technologies offer effective and sustainable ways to these challenges through reduced human interference and improved data-accuracy. Innovations led by digital transformations in the agri-food supply chains (AFSCs) are the main aim of 'Agri-Food 4.0'. This brings significant transformations in the agri-food sector by reducing food wastage, real-time product monitoring, reducing scalability issues, etc. This paper presents a systematic review of the innovations in the agri-food for digital technologies such as internet-of-things, artificial intelligence, big data, RFID, robotics, blockchain technology, etc. The employment of these technologies from the ‘farm to fork’ along AFSC emphasizes a review of 159 articles solicited from different sources. This paper also highlights digitization in developing smart, sensible, and sustainable agri-food supply chain systems.
    Źródło:
    Production Engineering Archives; 2021, 27, 2; 75-89
    2353-5156
    2353-7779
    Pojawia się w:
    Production Engineering Archives
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Achieving cost efficiency through increased inventory leanness: Evidence from manufacturing industry
    Autorzy:
    Mor, Rahul S.
    Kumar, Dinesh
    Yadav, Sarika
    Jaiswal, Swatantra K.
    Powiązania:
    https://bibliotekanauki.pl/articles/1839570.pdf
    Data publikacji:
    2021
    Wydawca:
    Stowarzyszenie Menedżerów Jakości i Produkcji
    Tematy:
    zarządzanie zapasami
    ABC
    analiza VED
    przemysł wytwórczy
    inventory management
    VED analysis
    manufacturing industry
    lean production
    Opis:
    Inventory management’s fundamental problem starts with maintaining equilibrium among the operating efficiency, cost of investment, and other allied costs with extensive inventories to keep the actual conflicts at the minimum while optimizing the inventory holding levels. But, inventory management practices have not been well exploited in various manufacturing industries yet. In this study, inventory management tools, i.e., ABC and VED analysis, have been applied in the manufacturing industry, considering 146 items as raw material for an assembly. A total of 15 items under ‘AV’ class have been identified that consume 82.05 % of the total cost, and these items need strict control and frequent ordering. Sigma level of suppliers is also calculated, which comes out to be 2.36, and it must be improved to reduce the overall inventory cost.
    Źródło:
    Production Engineering Archives; 2021, 27, 1; 42-49
    2353-5156
    2353-7779
    Pojawia się w:
    Production Engineering Archives
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-4 z 4

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