SELECTION OF TOMATO CULTIVATION SYSTEMS UNDER SUSTAINABILITY CRITERIA

2020 ◽  
Vol 25 (01) ◽  
Author(s):  
Jose M. Brotons ◽  
Jose M. Camara-Zapata
Symmetry ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 774
Author(s):  
Adis Puška ◽  
Miroslav Nedeljković ◽  
Sarfaraz Hashemkhani Zolfani ◽  
Dragan Pamučar

The selection of sustainable suppliers (SSS) is the first step in applying a sustainable supply chain and sustainable production. Therefore, it is necessary to select the supplier that best meets the set sustainability criteria. However, the selection of suppliers cannot be done by applying symmetric information, because the company does not have complete information, so asymmetric information should be used when selecting suppliers. Since the SSS applies three main sustainability criteria, environmental, social, and economic criteria, this decision-making problem is solved by applying multi-criteria decision-making (MCDM). In order to solve the SSS for the needs of agricultural production, interval fuzzy logic was applied in this research, and six suppliers with whom agricultural pharmacies in Semberija work were taken into consideration. The application of interval fuzzy logic was performed using the methods PIPRECIA (Pivot pairwise relative criteria importance assessment) and MABAC (Multi-Attributive Border Approximation Area Comparison). Using the PIPRECIA method, the weights of criteria and sub-criteria were determined. Results of this method showed that the most significant are economic criteria, followed by the social criteria. The ecological criteria are the least important. The supplier ranking was performed using the MABAC method. The results showed that supplier A4 best meets the sustainability criteria, while supplier A6 is the worst. These results were confirmed using other MCDM methods, followed by the sensitivity analysis. According to the attained results, agricultural producers from Semberija should buy the most products from suppliers A4, in order to better apply sustainability in production. This paper showed how to decision make when there is asymmetric information about suppliers.


2019 ◽  
Vol 20 ◽  
pp. 316-325 ◽  
Author(s):  
Mohanasundar Radhakrishnan ◽  
Indira Kenzhegulova ◽  
M.G. Eloffy ◽  
W.A. Ibrahim ◽  
Chris Zevenbergen ◽  
...  

2020 ◽  
Vol 19 (03) ◽  
pp. 741-773
Author(s):  
Siamak Kheybari ◽  
Mansoor Davoodi Monfared ◽  
Hadis Farazmand ◽  
Jafar Rezaei

In this paper, a multi-criteria set-covering methodology is proposed to select suitable locations for a set of data centers. First, a framework of criteria, with social, economic and environmental dimensions, is presented. The framework is used to calculate the suitability of potential data center locations in Iran. To that end, a sample of specialists in Iran was asked to take part in an online questionnaire, based on best–worst method (BWM), to determine the weight of the criteria included in the proposed framework, after which a number of potential locations are evaluated on the basis of the criteria. The proposed model is evaluated under a number of settings. Using the proposed multi-criteria set-covering model, not only the utility of candidate places is evaluated by sustainability criteria but also all service applicants are covered by at least one data center with a specific coverage radius.


Author(s):  
Gyöngyi Vörösmarty ◽  
Imre Dobos

A környezeti hatások rendszerint túlmutatnak egy vállalat határain, éppen ezért az ellátási lánc kontextusban a környezeti szempontok érvényesítése során fontos szerep jut a beszerzési döntéseknek is. Számos olyan példát lehetne említeni, amikor egy adott szempont szerint egy alternatíva környezetileg előnyös, de az ellátási lánc egészét nézve már környezetterhelő. A környezeti hatások ellátási lánc szinten való mérése azonban komoly kihívásokat jelent. Ezzel jelentős kutatásokat és fejlesztéseket inspirált a téma. Az egyik olyan terület, amelyben komoly kutatási eredmények születtek, az a környezeti szempontok beszállítói értékelésbe való beépítése. A kutatások ezen irányához csatlakozva a szerzők tanulmányunkban azt keresik, hogyan lehet meghatározni az egyik legáltalánosabban használt szállítóértékelési módszerben, a súlyozott pontrendszerben egy adott szemponthoz azt a súlyt, amely mellett az adott szempont már döntésbefolyásoló tényezővé válik. Ehhez a DEA (Data Envelopment Analysis) összetett indikátorok (Composite Indicators, CI) módszerét alkalmazzák. A szempontok közös súlyának fontossága megállapításához a lineáris programozás elméletét használják. _____ Management decisions often have an environmental effect not just within the company, but outside as well, this is why supply chain context is highlighted in literature. Measuring environmental issues of supply decisions raise a lot of problems from methodological and practical point of view. This inspires a rapidly growing literature as a lot of studies were published focusing on how to incorporate environmental issues into supplier evaluation. This paper contributes to this stream of research as it develops a method to help weight selection. In the authors’ paper the method of Data Envelope Analysis (DEA) is used to study the extension of traditional supplier selection methods with environmental factors. The selection of the weight system can control the result of the selection process.


2017 ◽  
Vol 121 ◽  
pp. 67-78 ◽  
Author(s):  
Zahra S. Moussavi Nadoushani ◽  
Ali Akbarnezhad ◽  
Javier Ferre Jornet ◽  
Jianzhuang Xiao

2021 ◽  
Vol 13 (10) ◽  
pp. 5565
Author(s):  
Stefan Wurster ◽  
Steffen Johannes Schlosser

Sovereign wealth funds (SWFs) are state-owned investment vehicles intended to pursue national objectives. Their nature as long-term investors combined with their political mandate could make SWFs an instrument suited to promote sustainability. As an essential precondition, it is important for SWFs to commit to sustainability criteria as part of an overarching strategy. In the article, we present the sustainability disclosure index (SDI), an original new dataset for a selection of over 50 SWFs to investigate whether SWFs disclose sustainability criteria covering environmental, social, economic, and governance aspects into their mandate. In addition to an empirical measurement of the disclosure rate, we conduct multiple regressions to analyze what factors help to explain the variance between SWFs. We see that a majority of SWFs disclose at least some of the sustainability criteria. However, until today, only a small minority address a broad selection as a possible basis for a comprehensive sustainability strategy. While a high-state capacity and a young population in a country as well as a commitment to the international Santiago Principles are positively associated with a higher disclosure rate, we find no evidence for strong effects of the economic development level, the resource abundance, and the degree of democratization of a country or of the specific size and structure of a fund. Identifying favorable conditions for a higher commitment of SWFs could help to initiate pathways to become functional sustainability instruments.


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