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    Wyświetlanie 1-6 z 6
    Tytuł:
    Waste management as an element of the creation of a closed loop of supply chains on the example of mining and extractive industry
    Autorzy:
    Dyczkowska, Joanna
    Bulhakova, Yuliia
    Łukaszczyk, Zygmunt
    Maryniak, Anna
    Powiązania:
    https://bibliotekanauki.pl/articles/409945.pdf
    Data publikacji:
    2020
    Wydawca:
    STE GROUP
    Tematy:
    closed loop of supply chain
    mining
    sustainable supply chain
    wastes
    Opis:
    The purpose of the study is presentation of the method of increasing the competitiveness of the mining industry through the demonstration of the possibility and potential in closing the loop of supply chains through waste management. A critical analysis of the source literature and an arithmetic analysis of statistical data in static and dynamic perspectives were accepted to be the research method. It has been found that the structure of the level of mining wastes and the level of their recovery rates demonstrate a large potential of closing the loop of chains in this industry and, at the same time, a potential to extend the chains through directing the material from recovery to various sectors. This constitutes an example of the direction of activities that are in line with the EU strategies for the economies of other states which possess this type wastes.
    Źródło:
    Management Systems in Production Engineering; 2020, 1 (28); 60-69
    2299-0461
    Pojawia się w:
    Management Systems in Production Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Design of Supply Chain Network to Reduce Impacts of Damages during Shipping
    Autorzy:
    Abushaega, Mastoor M.
    Daehy, Yahya H.
    Alghamdi, Saleh Y.
    Krishnan, Krishna K.
    Khamaj, Abdulrahman
    Powiązania:
    https://bibliotekanauki.pl/articles/1841416.pdf
    Data publikacji:
    2021
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    supply chain network
    damage recovery scenarios
    closed loop supply chain
    type I errors
    type II errors
    Opis:
    Recently, the expand of industrial market has led to have long supply chain network. During the long shipment, the probability of having damaged products is likely to occur. The probability of having damaged products is different between stages and that could lead to higher percentage of damaged products when arrived at retailers. Many companies have rejected the entire shipment because the damaged product percentage was higher than that agreed on. Decision-makers have tried to reduce the percentage of damaged products that happened because the transit, loading unloading the shipment, and natural disasters. Companies started to implement recovery centers in the supply chain network in order to return their system steady statues. Recovery models have been developed in this paper to reduce the damaged percentage at minimum costs to do so. Results show that the possibility of implementing an inspection unit and a recovery centers in the system before sending the entire shipment to the retailer based on examining a sample size that has been selected randomly from the shipment and the minimum cost of committing type I and type II errors. Designing a methodology to minimize the total cost associated with the supply chain system when there is a possibility of damage occurring during shipping is the objective of this research.
    Źródło:
    Management and Production Engineering Review; 2021, 12, 2; 17-26
    2080-8208
    2082-1344
    Pojawia się w:
    Management and Production Engineering Review
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    A fuzzy approach to multi-objective mixed integer linear programming model for multi-echelon closed-loop supply chain with multi-product multi-time-period
    Autorzy:
    Akin Bas, Sema
    Ahlatcioglu Ozkok, Beyza
    Powiązania:
    https://bibliotekanauki.pl/articles/406583.pdf
    Data publikacji:
    2020
    Wydawca:
    Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
    Tematy:
    closed-loop supply chain management
    multi-objective optimization
    fuzzy mixed-integerlinear programming
    inventory decision
    Opis:
    By the green point of view, supply chain management (SCM), which contains supplier and location selection, production, distribution, and inventory decisions, is an important subject being examined in recent years by both practitioners and academicians. In this paper, the closed-loop supply chain (CLSC) network that can be mutually agreed by meeting at the level of common satisfaction of conflicting objectives is designed. We construct a multi-objective mixed-integer linear programming (MOMILP) model that allows decision-makers to more effectively manage firms’ closed-loop green supply chain (SC). An ecological perspective is brought by carrying out the recycling, remanufacturing and destruction to SCM in our proposed model. Maximize the rating of the regions in which they are located, minimize total cost and carbon footprint are considered as the objectives of the model. By constructing our model, the focus of customer satisfaction is met, as well as the production, location of facilities and order allocation are decided, and we also carry out the inventory control of warehouses. In our multi-product multi-component multi-time-period model, the solution is obtained with a fuzzy approach by using the min operator of Zimmermann. To illustrate the model, we provide a practical case study, and an optimal result containing a preferable level of satisfaction to the decision-maker is obtained.
    Źródło:
    Operations Research and Decisions; 2020, 30, 1; 25-46
    2081-8858
    2391-6060
    Pojawia się w:
    Operations Research and Decisions
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Logistyka utylizacji. Istota, cele i miejsce w systemie logistycznym
    WASTE LOGISTICS. ESSENCE, OBJECTIVES AND PLACE IN THE LOGISTICS SYSTEM
    Autorzy:
    Krzywda, Joanna
    Nowakowska-Grunt, Joanna
    Powiązania:
    https://bibliotekanauki.pl/chapters/26917724.pdf
    Data publikacji:
    2023-04-04
    Wydawca:
    Politechnika Częstochowska. Wydawnictwo Politechniki Częstochowskiej
    Tematy:
    logistyka odwrotna
    logistyka utylizacji
    zamknięta pętla łańcucha dostaw
    closed loop supply chain
    reverse logistics
    waste logistics
    Opis:
    Współczesny świat boryka się z coraz to bardziej zróżnicowanymi i poważniejszymi problemami, do których należy niewątpliwie zanieczyszczenie środowiska odpadami będącymi efektem ubocznym działalności człowieka. Gospodarowanie odpadami w odpowiedni sposób staje się wyzwaniem dla organizacji i całych państw, które tworzą swoje systemy i koncepcje, cały czas je doskonaląc. Problem zagospodarowania odpadów stanowi wyzwanie również pod względem logistycznym. Dlatego też pojawiła się koncepcja zastosowania osiągnięć i paradygmatów logistyki do gospodarowania odpadami. W ten oto sposób mówić można o logistyce utylizacji. Praca ma na celu przedstawienie podstawowych informacji dotyczących logistyki utylizacji. W pierwszej jej części omówione zostały zagadnienia związane z pojęciem i definicją logistyki odzysku, a także pojęcia pokrewne, takie jak logistyka odwrotna. W dalszej części przedstawiono krótki zarys historii gospodarki odpadami, jak również jej miejsce w systemie logistycznym. W ostatniej części zaprezentowano umiejscowienie logistyki utylizacji w łańcuchu dostaw i pojęcie zamkniętej pętli łańcucha dostaw.
    The modern world is facing more and more diverse and serious problems, which undoubtedly include environmental pollution by waste from human activities. Managing waste in an appropriate way is becoming a challenge for organisations and whole countries, which are creating their systems and concepts, improving them all the time. The problem of waste management is also a logistical challenge. Therefore, the concept of applying the achievements and paradigms of logistics to waste management has emerged. In this way one can speak of waste logistics. The aim of this work is to present basic information on waste logistics. In the first part, issues related to the concept and definition of waste logistics and related concepts, such as reverse logistics, are discussed. The next part presents a brief outline of the history of waste management as well as its place in the logistics system. The final section presents the location of disposal logistics in the supply chain and the concept of a closed loop supply chain.
    Źródło:
    Współczesne wyzwania logistyki; 38-47
    9788371939266
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Forecasting return products in an integrated forward/reverse supply chain utilizing an ANFIS
    Autorzy:
    Kumar, D. T.
    Soleimani, H.
    Kannan, G.
    Powiązania:
    https://bibliotekanauki.pl/articles/329809.pdf
    Data publikacji:
    2014
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    artificial neural network
    adaptive network based fuzzy
    inference system
    closed loop supply chain
    forecasting methods
    fuzzy neural network
    sztuczna sieć neuronowa
    system wnioskowania
    metoda prognozowania
    sieć neuronowa rozmyta
    Opis:
    Interests in Closed-Loop Supply Chain (CLSC) issues are growing day by day within the academia, companies, and customers. Many papers discuss profitability or cost reduction impacts of remanufacturing, but a very important point is almost missing. Indeed, there is no guarantee about the amounts of return products even if we know a lot about demands of first products. This uncertainty is due to reasons such as companies’ capabilities in collecting End-of-Life (EOL) products, customers’ interests in returning (and current incentives), and other independent collectors. The aim of this paper is to deal with the important gap of the uncertainties of return products. Therefore, we discuss the forecasting method of return products which have their own open-loop supply chain. We develop an integrated two-phase methodology to cope with the closed-loop supply chain design and planning problem. In the first phase, an Adaptive Network Based Fuzzy Inference System (ANFIS) is presented to handle the uncertainties of the amounts of return product and to determine the forecasted return rates. In the second phase, and based on the results of the first one, the proposed multi-echelon, multi-product, multi-period, closed-loop supply chain network is optimized. The second-phase optimization is undertaken based on using general exact solvers in order to achieve the global optimum. Finally, the performance of the proposed forecasting method is evaluated in 25 periods using a numerical example, which contains a pattern in the returning of products. The results reveal acceptable performance of the proposed two-phase optimization method. Based on them, such forecasting approaches can be applied to real-case CLSC problems in order to achieve more reliable design and planning of the network.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2014, 24, 3; 669-682
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Closed Loop Supply Chain with Production Planning
    Autorzy:
    Stecz, W.
    Powiązania:
    https://bibliotekanauki.pl/articles/409322.pdf
    Data publikacji:
    2016
    Wydawca:
    Politechnika Poznańska. Wydawnictwo Politechniki Poznańskiej
    Tematy:
    closed loop
    supply chain
    optimization
    production planning
    Opis:
    We present a Closed Loop Supply Chain (CLSC) model that supports a production planning (PP) process. CLSC model is based on CLSC framework model which consists of four main centers: collection, recovery center, distribution and disposal centers. These logistics parts support main production lines. Some quantity of the products is recovered and the factories don’t need to spend money for production. This is a simple cost reduction process. In CLSC literature one can hardly meet the models of production planning processes supported by CLSC. Important problem with that models is the computational complexity when one wants to prepare production plans for more than one time period. This is connected with a number of the numerical variables of the CLSC and PP models which are usually Integer Programming models solved with Branch & Bound algorithms. We present some modifications of the widely known and used constraints in the CLSC models to optimize solving process. All the experiments were conducted with the CPLEX solver.
    Źródło:
    Research in Logistics & Production; 2016, 6, 2; 117-128
    2083-4942
    2083-4950
    Pojawia się w:
    Research in Logistics & Production
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-6 z 6

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