An integrated approach based on the decision-theoretic rough set for resilient-sustainable supplier selection and order allocation

Kybernetes ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Pengyun Zhao ◽  
Shoufeng Ji ◽  
Yaoting Xue

PurposeThe purpose of this paper is to propose an innovative integration method based on decision-theoretic rough set and the extended VlseKriterijuska Optimizacija I Komoromisno Resenje (VIKOR) methods to address the resilient-sustainable supplier selection and order allocation (SS/OA) problem.Design/methodology/approachSpecifically, a two-stage approach is designed in this paper. First, the decision-theoretic rough set is employed to calculate the rough number for coping with the subjective uncertainty of data and assigning the weights for a resilient-sustainable evaluation criterion. On this basis, the supplier resilient-sustainable performance is ranked in combination with the extended VIKOR method. Second, a novel multi-objective optimization model is proposed that applies an improved genetic algorithm to select the resilient-sustainable supplier and allocate the corresponding order quantity under a multi-tier supplier network.FindingsThe results reveal that joint consideration of resilience and sustainability is essential in the SS/OA process. The method proposed in this study based on decision-theoretic rough sets and the extended VIKOR method can handle imprecise information flexibly, reduce information loss and obtain acceptable solutions for decision-makers. Numerical cases validate that this integrated approach can combine resilience and sustainability for effective and efficient SS/OA.Practical implicationsThis paper provides industry managers with a new perspective on SS/OA from a resilience and sustainability perspective as a basis for best practices for industry resilience and sustainability. The proposed method helps to evaluate the resilient-sustainable performance of potential suppliers, which is applicable to solving real-world SS/OA problems and has important practical implications for the resilient-sustainable development of supply chains.Originality/valueThe two interrelated priorities of resilience and sustainability have emerged as key strategic challenges in SS/OA issues. This paper is the first study of this issue that uses the proposed integrated approach.

2020 ◽  
Vol 13 (2) ◽  
pp. 195-210 ◽  
Author(s):  
Avanish Singh Chauhan ◽  
Gaurav Kumar Badhotiya ◽  
Gunjan Soni ◽  
Prem Kumari

Purpose Because of the increased global competition and the need for environment consciousness, organisations have started focusing on incorporating sustainability dimensions into suppler selection criteria. In the past decade, sustainable supplier selection has received much attention from researchers as well as industry practitioners. The purpose of this paper is to identify various sustainable supplier selection criteria (SSSC) and underlying interdependencies among prominent selection criteria to develop a framework for sustainability dimensions. Design/methodology/approach The sustainable criteria for supplier selection were established through comprehensive literature review. An interpretive structural modelling (ISM) approach is used to investigate the interrelationships among these criteria. Findings A total of 21 SSSC under 3 dimensions (social, environmental and economic) are established. Ten criteria related to quality, capability, flexibility, waste management, pollution prevention, local community, employment practice, labour, etc. are exhibiting strong driving as well as dependence power, as demonstrated through ISM and matriced’ impacts croises-multiplication applique’ and classement (MICMAC) analysis. The findings show that delivery/service, eco design and rights of stakeholders are the “key” criteria having a high-driving and low-dependence power. These criteria require high attention from managers, while other criteria having low-driving and high-dependence power require secondary actions. Research limitations/implications The inter-relations for the development of ISM model and MICMAC analysis were obtained through the opinion of industry experts and academicians, which may tend to be subjectively biased. Further exploration is proposed to statistically validate the developed interdependency model. Practical implications This paper might act as a reference for the supplier development managers of organisations by providing an appraisal of various SSSC based on their interdependencies. Originality/value This study contributes to the knowledge base by proposing a framework of the interrelationships of the SSSC and also provides an additional perspective for managing these criteria based on ISM.


Kybernetes ◽  
2019 ◽  
Vol 48 (8) ◽  
pp. 1782-1805 ◽  
Author(s):  
Chunxia Yu ◽  
Wenfan Zhao ◽  
Ming Li

Purpose Due to the increasing awareness of environmental and social issues, many practitioners and researchers have paid attention to sustainable supply chain management. As the performance of suppliers determines the success of supply chains, sustainable supplier selection becomes more and more important. Existing sustainable supplier selection models evaluated the sustainability of suppliers in three aspects (economic, environmental and social) and assumed that values on different criteria can completely compensate for each other directly. However, in reality, criteria in economic, environmental and social aspects are heterogeneous, and the decision-maker’s preferences on criteria belonging to different aspects are different. In this case, values on criteria belonging to different aspects are not allowed to completely compensate for each other directly. To solve this problem, this paper aims to propose a hybrid sustainable supplier selection approach integrating compensatory and non-compensatory decision rules. Design/methodology/approach In the proposed approach, the compensatory decision method Technique for Order of Preference by Similarity to Ideal Solution is used to evaluate performances of suppliers with respect to economic, environmental and social aspects. The non-compensatory decision method Elimination and Choice Translating Reality is used to evaluate performances of suppliers on sustainable criteria comprehensively. Through the proposed approach, only criteria belonging to the same aspects are allowed to compensate for each other directly. Finally, experimental results show that the proposed integrated approach is effective and efficient to help the decision-maker select optimal sustainable suppliers. Findings This is an original approach that integrates compensatory and non-compensatory decision rules, which can benefit from the two kinds of decision rules simultaneously. The integrated approach can be used as an aid for companies to select the best sustainable suppliers. Originality/value This paper presents an original integrated sustainable supplier selection approach using both compensatory and non-compensatory methods. It can benefit from the advantages of both compensatory and non-compensatory methods. The proposed approach can express preferences of the decision-maker on sustainable criteria sufficiently and maximize economic benefits while meeting environmental needs.


Symmetry ◽  
2020 ◽  
Vol 12 (2) ◽  
pp. 302 ◽  
Author(s):  
Shan-Yong You ◽  
Li-Jun Zhang ◽  
Xue-Guo Xu ◽  
Hu-Chen Liu

With the increasing pressure from global competition, manufacturers have realized that sustainable production is significant in supply chain management. Sustainable supplier selection and order allocation (SSS&OA) play a distinct and critical role for organizations to achieve sustainable development and build competitive advantage. In this paper, we aim to develop a novel SSS&OA model for selecting the most suitable sustainable suppliers and determining the optimal order sizes among them. First, double hierarchy hesitant linguistic term sets (DHHLTSs) are adopted to deal with uncertainty in evaluating the sustainable performance of alternative suppliers. Then, an extended decision field theory is proposed to choose efficient sustainable suppliers dynamically. Considering quantity discount, a multi-objective linear programming (MOLP) model is established to allocate reasonable order quantities among the selected suppliers. Finally, the applicability and effectiveness of the developed model are illustrated through its application in the electronic industry and through a comparative analysis with other methods.


2020 ◽  
Vol 28 (2) ◽  
pp. 119-133
Author(s):  
Nicola Davies ◽  
Teresa Burdett

PurposeIntegrated healthcare is a central tenant of the NHS Long Term Plan (NHS, 2019). NICE in 2019 published guidelines; advising the integration of multidisciplinary professionals which may lead to an improvement in conservative treatment methods of pelvic organ prolapse. Therefore, current literature on the conservative treatments for pelvic organ prolapse needs to be reviewed to ascertain if an integrated approach would improve the symptoms and quality of life for women.Design/methodology/approachA systematic review of the literature between 2013 and 2018 was implemented. Papers included were written in English, peer-reviewed and consisted of treatments of pelvic organ prolapse in women. Papers containing surgical interventions, postpartum participants, reviews, evaluations, guidelines, follow-up studies, focusing on cost effectiveness, sexual function were excluded.FindingsSeven studies in total were included, and two overarching themes were identified: quality of life after treatment and the effect of conservative treatment on pelvic organ prolapse symptoms. The literature suggested that integrating care had a more positive outcome on pelvic organ symptoms and quality of life.Research limitations/implicationsTo develop a robust enhanced model of care for conservative treatment of pelvic organ prolapse through more mixed method or qualitative research, that incorporates integrative treatment methods with collaboration from multidisciplinary professionals.Practical implicationsThe practical implications of integrating the conservative management of pelvic organ prolapse is the communication between the multidisciplinary team must be exceptional to ensure everyone understands and agrees the treatment that is being provided to patient. Also, effective teamwork is important to ensure the patient receives the best care with input from the correct disciplines. The multi-professional team will need to have regular meetings to discuss and implement care plans for patients that might prove difficult to schedule due to differing commitments and priorities. This must be overcome to insure a successful and effective integrated approach to pelvic organ prolapse is delivered.Social implicationsThe social implications of integrating the professional approach to women's care of pelvic organ prolapse involves reducing the severity of the symptoms therefore, increasing the quality of life. This may result in the reduction of surgical intervention due to the patient being satisfied with the conservative management. Through integrating the management of the prolapse the patient will receive an accessible individualised care plan pathway that focuses on treating or reducing the impact of the symptoms that are bothersome to the patient whilst managing patient expectations. Patients will also, be reassured by the number of multi-disciplinary professionals involved in their care.Originality/valueGlobal integration of conservative treatments and multidisciplinary-professionals specialising in pelvic organ prolapse and pelvic floor dysfunction is needed.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Chang Liu ◽  
Pratibha Rani ◽  
Khushboo Pachori

PurposeDue to stern management policies and increased community attentiveness, sustainable supply chain management (SSCM) performs a vast component in endeavor operation and production management. Sustainable circular supplier selection (SCSS) and evaluation presented the environmental and social concerns in the fields of circular economy and sustainable supplier selection. Choosing the optimal SCSS is vital for organizations to persuade SSCM, as specified in various researches. Based on the subjectivity of human behavior, the selection of ideal SCSS often involves uncertain information, and the Pythagorean fuzzy sets (PFSs) have a huge capability to tackle strong vagueness, uncertainty and inaccuracy in the multi-criteria decision-making (MCDM) procedure. Here, a framework is developed to assess and establish suitable suppliers in the SSCM and the circular economy.Design/methodology/approachThis paper introduced an extended framework using the evaluation based on distance from average solution (EDAS) with PFSs and implemented it to solve the SCSS in the manufacturing sector. Firstly, the PFSs to handle the uncertain information of decision experts (DEs) is employed. Secondly, a novel divergence measure and parametric score function for calculating the criteria weights are proposed. Thirdly, an extended decision-making approach, known as PF-EDAS, is introduced.FindingsThe outcomes and comparative discussion show that the developed method is efficient and capable of facilitating the DEs to choose desirable SCSS. Therefore, the proposed framework can be used by organizations to assess and establish suitable suppliers in the SCSS process in the circular economy.Originality/valueSelecting the optimal sustainable circular supplier (SCS) in the manufacturing sector is important for organizations to persuade SSCM, as specified in various research. However, corresponding to the subjectivity of human behavior, the selection of the best SCS often involves uncertain information, and the PFSs have a huge capability to tackle strong vagueness, uncertainty and inaccuracy in the MCDM procedure. Hence, manufacturing companies' administrators can implement the developed method to assess and establish suitable suppliers in the SCSS process in the circular economy.


2019 ◽  
Vol 14 (1) ◽  
pp. 77-105 ◽  
Author(s):  
Md. Tanweer Ahmad ◽  
Sandeep Mondal

PurposeThis paper aims to address the supplier selection (SS) problem under dynamic business environments to optimize the procurement cost of spare-parts in the context of a mining equipment company (MEC). Practically, involved parameters’ value does not remain constant as planning periods due to fluctuation in the demand and their market dynamics. Therefore, dynamicity in the parameter is considered as an important factor when a company forms a responsive chain through most eligible suppliers with respect to planning periods. This area of study may be considered for their complexities to the approaches toward order-allocations with bi-products of unused and repair spare-parts.Design/methodology/approachAn integrated methodology of analytic hierarchy process (AHP) and mixed-integer non-linear programming (MILP) is implemented in the two stages during each planning periods. In the first stage, AHP is used to obtain the relative weights with respect to each spare-parts of each criterion and based on that, the ranking is evaluated in accordance with case considered. And in the second stage, MILP is formulated to find the allocations of each spare-part with two distinct approaches through Model-1 and Model-2 separately. Moreover, Model-1 and Model-2 are outlined based on the ranking and efficient parameters-value under cost, limited capacities, quality level and delay lead time respectively.FindingsThe ranking and their optimal order-allocation of potential suppliers are obtained during consecutive planning periods for both unused and repair spare-parts. Subsequently, sensitivity analysis is conducted to deduce the key nuggets with the comparison of Model-1 and Model-2 in the changing of capacity, demand and cost per spare-parts. From this analysis, it is found that suppliers who have optimal parameter settings would be better for order-allocations than ranking during the changing planning period.Practical implicationsThis paper points out the situation-specific approach for SS problem for a mining industry which often faces disruptive supplying environments. The managerial implication between ranking and parameters are highlighted through Model-1 and Model-2 by sensitivity analysis.Originality/valueIt provides useful directions for managers who are involved in the procurement of spare-parts in the mining environment. For this, suppliers are selected for order-allocation by using Model-1 and Model-2 in the dynamic business environment. The solvability of the model is presented using LINGO 17. Furthermore, the case company selected in this study can be extended to other sectors.


2018 ◽  
Vol 19 (2) ◽  
pp. 230-247 ◽  
Author(s):  
Natasja Steenkamp

Purpose The purpose of this paper is to develop guidelines of what award winning companies, leading practice in integrated reporting (IR) disclose in their integrated reports about material issues and their materiality determination processes. Also, to provide insight into what they disclose about their perception of materiality. Design/methodology/approach A content analysis was conducted to investigate what the top 10 South African companies of the 2015 Ernst and Young Excellence in Integrated Reporting Awards disclosed in their 2014 and 2015 integrated reports about their materiality determination processes, material issues and what materiality means to them. Thematic analyses were conducted in developing guidelines. Findings All except one company applied the International Integrated Reporting Framework. The materiality determination processes, material issues and companies’ descriptions of materiality are diverse. Material issues most companies identified relate to employees, social and environmental issues, customers and sustainable performance. Practical implications The proposed guidelines will provide useful strategies for organisations embarking on the IR journey about what issues could be considered as material and therefore included in integrated reports. It also proposes activities companies can undertake to identify, evaluate and prioritise material issues and execute their materiality determination process. Originality/value This paper is the first to develop guidelines of material matters and materiality determination processes. It also adds to existing literature on IR practice and the application of materiality.


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