Risk analysis in green supply chain using fuzzy AHP approach: A case study

Smart city development is gaining considerable recognition in the systematic literature and international policies throughout the world. The study aims to identify the key barriers of smart cities from a review of existing literature and views of experts in this area. This work further makes an attempt on the prioritisation of barriers to recognise the most important barrier category and ranking of specific barriers within the categories to the development of smart cities in India. Through the existing literature, this work explored 31 barriers of smart cities development and divided them into six categories. This research work employed fuzzy Analytic Hierarchy Process (AHP) technique to prioritise the selected barriers. Findings reveal that 'Governance' is documented as the most significant category of barriers for smart city development followed by 'Economic; 'Technology'; 'Social'; 'Environmental' and 'Legal and Ethical'. In this work, authors also performed sensitivity analysis to validate the findings of study. This research is useful to the government and policymakers for eradicating the potential interferences in smart city development initiatives in developing countries like India.

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“…The calculation procedure of extent analysis method as described by Luthra et al (2015) and Mangla et al (2015) …”

Section: Appendixmentioning

confidence: 99%

Barriers to the Development of Smart Cities in Indian Context

Luthra²,

et al. 2018

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“…By virtue of this, it is capable enough to influence the other main factors of RL implementation. Small change in relative weights would give large changes in the final rank (Mangla et al, 2015a). Considering this, we tested the final ranking through sensitivity analysis by varying the weights of 'competitiveness factors'.…”

Section: Sensitivity Analysis Resultsmentioning

confidence: 99%

“…The benefits of AHP method over other MCDM methods are its flexibility, intuitive appeal to the decision makers and its facility to ensure consistent results (Mangla et al, 2015a(Mangla et al, , 2015b. The AHP method assists the decision-makers to analyse the complex system in a simple manner (Saaty and Peniwati, 2013;Luthra et al, 2015b;Mangla et al, 2015c).…”

Section: Analytical Hierarchy Processmentioning

confidence: 99%

“…So, it needs a careful attention. Fuzzy set theory may be combined with AHP methodology to avoid biasness in data (Mangla et al, 2015a). In future research, the empirical analysis of identified CFs for successful implementation of RL practices in supply chain may be conducted in various Indian industrial sectors and results may be compared (Luthra et al, 2014a).…”

Section: Limitations and Scope For Future Workmentioning

confidence: 99%

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Identify and prioritise the critical factors in implementing the reverse logistics practices: a case of Indian auto component manufacturer

Luthra¹,

Mangla

Kumar

et al. 2017

IJBSR

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Abstract:In recent years, reverse logistics (RL) practices have been perceived a great recognition among researchers/practitioners. In this paper, we intend to identify and prioritise the critical factors (CFs) in implementing the RL practices, from the industrial viewpoint. There are 13 CFs crucial in accomplishing the RL practices were recognised on the basis of critical review Identify and prioritise the CFs in implementing the RL practices 43of literature and experts opinion. These finalised 13 CFs were then analysed to determine their priority by means of analytical hierarchy process (AHP) technique. The AHP technique assists in determining the relative importance of the identified RL implementation critical factors. The findings of the work may help managers to address the related issues in RL implementation. Inputs needed to carry out this research work are taken from an Indian automotive components manufacturing company. The results of the study may help researchers/practitioners to prioritise their efforts to implement RL practices in effective manner. In the end, sensitivity analysis is carried out to examine the proposed RL implementation CFs stability.Keywords: analytical hierarchy process; AHP; critical factors; CFs; reverse logistics; RL; supply chain management; SCM; sensitivity analysis.Reference to this paper should be made as follows: Luthra, S., Mangla, S.K., Kumar, S., Garg, D. and Haleem, A. (2017) He has been associated with teaching for the last 13 years. He has contributed over 50 research papers in international referred and national journals, and conferences at international and national level. He has received over 380 citations on Google scholar (h-index = 9). His specific areas of interest are operation management; optimisation techniques; green supply chain management, sustainable supply chain management, sustainable consumption and production, innovation and technology management, performance measurement, reverse logistics, renewable/sustainable energy technologies, business sustainability etc.Sachin Kumar Mangla is working in the field of green supply chain management; risk management; flexible systems; modelling and simulation of supply chain; reverse logistics; product recovery; renewable energy; energy systems; decision-making. He has submitted his doctorate thesis (specialisation Production and Industrial Engineering/Supply Chain Management) and is from IIT, Roorkee. He loves to write research papers and projects. He has published/presented several papers in repute international/national journals (RSER, IJPR, PPC, RCR, IJOR, IJLSM, JFSM, IE) and conferences (POMS, SOMS, GLOGIFT). Regarding research impacts, he has an h-index equal to 6 and i10-index equal to 6. Sanjay Kumar is working as a Professor in Mechanical Engineering Department in I.I.T.M, Sonepat, Haryana, India. He completed his PhD in Mechanical Engineering from Jamia Millia Islamia University Delhi, India. He did his Master's in Mechanical Engineering with specialisation in Production Engineering from Delhi Techno...

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“…}U; |HQ=N w |rN=O u}t -=D |xQ}HvR |=ylU}Q |@=} RQ= |= Q@ p=tDL= Q}F -=D T} QD=t C} Q}Ot |= Q@ K}LY OOa |R}Qxt=vQ@ pOt l} |RtQ w |R}Q@D [6] "OvOQm xO=iDU= T} wmQwm [7] "OvOQm x=Q= u}t -=D |xQ}HvR |=yxm@W |L=Q] QO u}t -=D |xQ}HvR lU} Q [8] "OvOQm xO=iDU= u}t -=D |xQ}HvR lU} Q |@=} RQ= |= Q@ FMEA VwQ R= u= Q=mty w xO=iDU= u}t -=D |xQ}HvR lU} Q |@=} RQ= |= Q@ |R=i AHP VwQ R= u= Q=mty w qovt [9] "OvOQm u=oOvvmu}t -=D ?=NDv= |xv}tR QO xOW s=Hv= C=ar=]t "2"2 u=oOvvmu}t -=D ?=NDv= 'OQ}o|t CQwY =yXN=W |QUm} |=v@tQ@ |Q}os}tYD "OQ}o CQwY XN=W |QUm} |=v@t Q@ O}=@ w &CU= |Q}os}tYD`wv l} R}v w |@=} RQ= |= Q@ = Q |}=yQ=}at xOvvmu}t -=D ?=NDv= xv}tR QO xOW s=Hv= C=ar=]t pt=W |rm Q=}at Q=yJ uwUm}O %p=Ft u=wvax@ 'OvDiQo Q_v QO u=oOvvmu}t -=D ?=NDv= |iQat u=oOvvmu}t -=D ?=NDv= |= Q@ |Dv=Q=o |=yCU=}U '|Q}PBp}wLDC}r@=k 'C}i}m 'Ct}k Q=}at xU |wQ u=WC=k}kLD QO u= Q=mty w ww=}r w u= Q=mty w =} R [10] [3] "Ovm ltm Q= Qk Q_v Ot |v=QL@ lU} Q |=yXN=W u}}aD w |Ov@x@DQ QO lU} Q |=yXN=W VwQ 'Ov=xDU@=w Qo}Om} x@ u=oOvvmu}t -=D lU} Q |=yXN=W xm =Hv; R= [1] "OQ}o|tv |Ov@x@DQ w |@=} RQ= |@ wNx@ = Q u=oOvvmu}t -=D |=ylU}Q Ov=wD|tv |DvU FMEA "Ovm|t x@re Xkv u}= Q@ 'ANP VwQ =@ VwQ u}= ? }mQD =@ |O=yvW}B pOt "Ovm QO p}rOx@ xm CU= xQ=}atOvJ |Q}os}tYD |=yl}vmD R= |m} T}UB=D VwQ |oO=U u}vJty '|ivt p;xO}= pL x= Q w C@Ft p;xO}= pL x= Q u=tRsy uDiQo Q_v T}UB=D VwQ [2] [17] 'xOWu=}@h}Q=aD|=v@tQ@ %OwW|t h} QaD u}vJ [14] "OvOwtv xO=iDU= lU} Q pt=wa x@ xHwD =@ |v=yH xOvvmu}t -=D ?=NDv= xrUt '|QDw}Bt=m C=a]k S=Dvwt CmQW l} u=oOvvmu}t -=D ?=NDv= w |@=} RQ= |= Q@ u= Q=mty w x=Q= u=oOvvmu}t -=D lU} Q |=yXN=W uDiQo Q_v QO =@ = Q |R=i ANP VwQ l} lU} Q \}=QW CLD u=oOvvmu}t -=D ?=NDv= w |@=} RQ= x@ u= Q=mty w =} R [15] "OvO=O pOt l} =yu; "OvDN=OQB u=oOvvmu}t -=D |D=}rta lU} Q pt=wa uDiQo Q_v QO =@ |R=i |=yxawtHt pOt w 9 FCM |R=i |DN=vW |=yxWkv R= |@}mQD pt=W ?=NDv= xv}tR QO ww w uJ [16] "OvOQm x=Q= u=oOvvmu}t -=D ?=NDv= xrUt pL |= Q@ u}= QO xm OvO=O x=Q= xOWKqY= FMEA pOt l} lU} Q \}=QW QO u=oOvvmu}t -=D R= nv=R w |r [1] "CU= xOW x@U=Lt AHP VwQ R= xO=iDU= =@ =yQ=}at uRw VwQ xO=iDU= |v=yH u}t -=D |xQ}HvR QO u=oOvvmu}t -=D lU} Q |@=} RQ= QO FMEA VwQ [3] "OvOQm |}xR=@ |R=i C}a]ksOa "3"2 xO=iDU= [18] uUmQ=D w [17] |vWrRQwo \UwD Q=@ u}rw= |= Q@ |R=i |=yxawtHt pOt u}= R= xO=iDU= |= Q@ |r}qO pOvt w l}vQ=m w [19] u= Q=mty w T}rvQwm u}vJty "OW |}=v=wD sOa Q@ |r}qO u}vJty w |v=@ R |=yQ}eDt C}a]ksOa Q@ x@re |= Q@ O=Oa= nv=w [20] "OvOQm x=Q= |v=@ R |=yQ}eDt C}a]ksOa Q@ x@re |= Q@ |rwtat |R=i O=Oa= =yu; x@ \w@Qt |[=} Q C=}rta w OvOQm x=Q= |}xR=@ |R=i O=Oa= |= Q@ = Q |i} Q=aD |r w O=Oa= xawtHt R= xO=iDU= =@ = Q T}UB=D pOt u= Q=mty w |v=}DW; [21] "OvO=O xaUwD = Q O=Oa= xO=iDU= =@ = Q Qwm}w VwQ u= Q=mty w |O}Lw …”

mentioning

confidence: 99%