Performance optimization of an aluminum factory in economic crisis by integrated resilience engineering and mathematical programming

Azadeh, A.; Salmanzadeh-Meydani, Navid; Motevali-Haghighi, S.

doi:10.1016/j.ssci.2016.08.030

Cited by 32 publications

(19 citation statements)

References 53 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Resilient organizations must predict adverse events, and facilities and resources should be organized as well as frequent monitoring to improve the readiness of the organization. Several studies have considered preparedness as one of the indicators affecting resilience (36,37).…”

Section: Discussionmentioning

confidence: 99%

Indicators of Organizational Resilience in Critical Sociotechnical Systems: A Qualitative Study for the Refinery Complex

et al. 2018

View full text Add to dashboard Cite

Background: Resilience engineering is a new approach for safety management. The purpose of this paper was to determine indicators constructing organizational resilience as an important part of overall resilience. Methods: This was a qualitative study. The data collection method was semi-structured interviews as well as the discussion group method. The data were analyzed with conventional qualitative content analysis. Results: Overall, 232 primary codes were classified in 81 sub-indicators and 11 indicators. Eleven indicators were as follows: management commitment, performance management system, flow of information/communication, involvement culture, error management system, education, preparedness, flexibility, innovation culture, change management, and human resource management. Conclusions: Refineries and other firms are recommended to evaluate the situation of any identified indicators, therefore, they can promote the level of resilience by improving any indicator.

show abstract

Section: Discussionmentioning

confidence: 99%

Indicators of Organizational Resilience in Critical Sociotechnical Systems: A Qualitative Study for the Refinery Complex

et al. 2018

View full text Add to dashboard Cite

show abstract

“…The results also suggest that there continues to be a wide diversity in the way RE is conceptualized. For example, it has been suggested to be multidimensional [30,47,50], multi-level [29,30], multi-factorial [29,30,53,57]; associated with both human and organizational performance [30,47,54] and culture [30,53,57]. In addition, it is also concerned with boundaries of operations [30,46], adaptation [30,46], continuity of operations [29,51] and preparedness [48,52,55].…”

Section: Conceptualisation and Measurement Of Rementioning

confidence: 99%

“…Three studies from this country [47,49,53] used ten characteristics to measure thirty questions, while two [56,58] measured six characteristics through sixty-one questions. Four instruments [30,47,54,57] were associated with a theoretical framework or model, but one of these [30] has not been empirically tested or validated. One instrument [29] was limited to measuring at the behavioural level, while instruments 4 [46], 5 [47], 8 [50], 12 [54] and 14 [56] were based on the seven key themes identified by Wreathall [27], but also included an additional four characteristics of Fault-Tolerance, Self-organization, Teamwork, and Redundancy.…”

Section: Authorsmentioning

confidence: 99%

Measuring Resilience Engineering: An Integrative Review and Framework for Bench-Marking Organisational Safety

Pillay

Morel

2020

Safety

View full text Add to dashboard Cite

Interest in resilience engineering for improving organisational safety continues to grow among safety scholars and practitioners, but little attention has focused on a unifying definition, characteristics, and instruments for quantitative measurements. This is a significant gap which can impede efforts at benchmarking and evaluating resilience engineering for organisational safety. This integrative review was undertaken to address this research-practice gap in order to inform a theoretical framework. A five steep integrative literature review process was used to retrieve and critically evaluate peer-reviewed quantitative research articles published or in press from 2003 to November 2019. From the 3884 studies identified, screened, and selected, 17 met the final inclusion criteria. In total, 15 specific instruments were identified, but only four were grounded on a theoretical framework or model—the most common instrument used for included structured surveys. A minimum of three and a maximum of 13 characteristics were measured; however, it is not clear what type of variables they represented. The six most common characteristics included top management commitment, just culture, learning culture, awareness, preparedness, and flexibility. An integrative model of how these can inform a Resilience Climate Questionnaire (RCQ) survey is presented.

show abstract

“…Data envelopment analysis (DEA) is a non-parametric method for evaluating the efficiency of DMUs based on multiple inputs and output variables. Although the primary use of DEA is investigating the productivity and efficiency of DMUs, and finally ranking them, it is a popular tool for investigating the relationship between multiple inputs and output variables in conceptual systems where the relationships among variables are complex and vague (Azadeh et al, 2017a). In other words, DEA usually evaluates the performance of a system by considering multiple inputs and output variables, however, in order to evaluate the role of input and output variables, it is possible to reverse this process.…”

Section: Fuzzy Data Envelopment Analysis (Fdea)mentioning

confidence: 99%

“…As mentioned before, the optimum α-cut for the FDEA model is determined based on the highest average efficiency of DMUs and normality of the obtained results (Azadeh et al, 2017a). Therefore, the efficiency scores of both trust models (distribution companies and retailers) are calculated with candidate α-cuts, including 0.1, 0.25, 0.5, 0.75, and 0.9.…”

Section: Determination Of Preferred -Cutsmentioning

confidence: 99%

Empirical investigation of trust antecedents and consequences in decentralized supply chain: The case of cosmetics market in Iran

Nematollahi¹

2019

10.5267/j.dsl

View full text Add to dashboard Cite

This study develops an empirical investigation of trust antecedents and consequences in creating a collaborative business relationship between distribution companies and retailers in the cosmetics market. A conceptual framework based on trust antecedents as inputs and trust consequences as outputs is designed for both parties. In order to evaluate the performance and effectiveness of each considered trust factor for each party, a fuzzy data envelopment analysis (FDEA) based approach is proposed. In order to demonstrate the applicability of the proposed model, a real-life case study is considered. The required data are collected using interview and questionnaires, and the reliability of the collected data is examined using the Cronbach's alpha. The obtained results indicate that there is no significant difference between both parties' tendency towards building a collaborative business relationship based on trust. The results also indicate that information sharing is not an effective trust antecedent for both parties. The "product quality" and "product price" are the most effective trust antecedents for retailers, while the "retailer's financial conflicts records" along with "length of partnership" are the most effective trust antecedents for distribution companies. Finally, the most effective trust consequences for distribution companies and retailers are "information sharing" and "brand advertising", respectively. .

show abstract

Performance optimization of an aluminum factory in economic crisis by integrated resilience engineering and mathematical programming

Cited by 32 publications

References 53 publications

Indicators of Organizational Resilience in Critical Sociotechnical Systems: A Qualitative Study for the Refinery Complex

Indicators of Organizational Resilience in Critical Sociotechnical Systems: A Qualitative Study for the Refinery Complex

Measuring Resilience Engineering: An Integrative Review and Framework for Bench-Marking Organisational Safety

Empirical investigation of trust antecedents and consequences in decentralized supply chain: The case of cosmetics market in Iran

Contact Info

Product

Resources

About