Search results

1 – 6 of 6
Per page
102050
Citations:
Loading...
Access Restricted. View access options
Article
Publication date: 8 February 2023

Md Tanweer Ahmad, Mohammad Firouz and Nishit Kumar Srivastava

Increasing scarcity of natural resources and the adverse effects of unsustainable practices call for more and more efficient management strategies in the energy industry. The…

179

Abstract

Purpose

Increasing scarcity of natural resources and the adverse effects of unsustainable practices call for more and more efficient management strategies in the energy industry. The quality of the coke plays a significant role in the quality and durability of the output steel which is produced using the energy from the coal. This paper aims to investigate the dynamic coal blending problem under overall cost and coke quality constraints in the steel industry within a periodic cycle of operations.

Design/methodology/approach

Considering the variability of the natural properties over a periodic cycle, this study proposes a multi-period mixed-integer non-linear programming formulation to optimize the total blending costs while taking various coke quality constraints into account. Besides, this study applies factorial design to investigate about the significant effect of coal proportions as well as improvement into the overall cost of blending.

Findings

In this case study, utilizing real data from a coal blending facility in India, through a factorial design, the authors obtain optimal desirable levels of coal proportions and their criticality levels towards the total cost of blending (TCB) or objective function. This analysis reflects the role of the coke quality constraints in the objective function value while characterizing the price of sustainability for the case study among other critical insights.

Originality/value

Objective function (or TCB) includes basic coal cost, movement cost and environmental costs during the coal and coke processing at a coke-oven and blast furnace of steel industry. The price of sustainability provides managerial insights on that sacrifices the industry has to make in order to become more “sustainable”.

Details

International Journal of Quality & Reliability Management, vol. 40 no. 9
Type: Research Article
ISSN: 0265-671X

Keywords

Access Restricted. View access options
Article
Publication date: 9 August 2019

Md Tanweer Ahmad and Sandeep Mondal

With the increasing competition among the industries, they remain under pressure as how to select the best set of suppliers for the competitive edge. Often, it has been…

344

Abstract

Purpose

With the increasing competition among the industries, they remain under pressure as how to select the best set of suppliers for the competitive edge. Often, it has been challenging to develop an effective set of suppliers due to varied and asymmetric mode of criteria. The purpose of this paper is to develop a responsive chain under original equipment manufacturer (OEM).

Design/methodology/approach

This study proposes a responsive chain under a two-echelon system (TES) of OEM, which needs to collaborate with a set of suppliers at each echelon through an integrated methodology of AHP and TOPSIS. According to the OEM’s criteria, demands and suppliers’ capacity vary with time, therefore they are not static for a longer period. Hence, supplier selection (SS) problem possesses dynamicity in real practice. For this, MILP is used for finding optimal order quantities based on the optimal ranking at each echelon in the multi-period scenario. Subsequently, sensitivity analysis (SA) is conducted through Taguchi method of parameter design (TMPD) to achieve an optimal ranking in the TES.

Findings

This study suggests optimal criteria’s weight, percentage contribution, and flexibility for the suppliers and manufacturers involving through maximum demand strategy at each echelon of OEM. It also provides robust group of suppliers and manufacturers in the TES through optimal ranking and simultaneously in the order allocations. Furthermore, it restricts the number of suppliers and manufactures at each echelon through proposed methodology to obtain the solution in a very short running time.

Originality/value

To validate this model, a real data set for the case of chain conveyor company is used. This adopted methodology can suggest the organization that how the approach should be implemented.

Details

Benchmarking: An International Journal, vol. 26 no. 8
Type: Research Article
ISSN: 1463-5771

Keywords

Access Restricted. View access options
Article
Publication date: 14 July 2021

Mohammad Akhtar and Md Tanweer Ahmad

This paper aims to select key criteria for sustainable vendor assessment and spare-parts supplies in the Indian petroleum refining sector using stochastic fuzzy technique for…

388

Abstract

Purpose

This paper aims to select key criteria for sustainable vendor assessment and spare-parts supplies in the Indian petroleum refining sector using stochastic fuzzy technique for order of preference by similarity to ideal solution (SFTOPSIS).

Design/methodology/approach

The criteria for sustainable vendor evaluation and selection are identified from the review of the literature and further; it is finalized using the Delphi method. Eight supply chain (SC) experts from the Indian petro refining sector were identified as having more than five years of experience and agreed to participate in this study (known as decision-makers (DM)). Five vendors supplying spare-parts are shortlisted from the market with the discussion and consent of procurement experts from petroleum refineries. Subsequently, criteria and vendors are rated based on relative importance in linguistic terms from the group of eight DMs. As ratings involve uncertainties in the decision-making, the SFTOPSIS method is applied to determine criteria weight and vendor ranking at a distinct significance level (α). The ranking of the vendors is obtained for sustainable supply of spare-parts in the Indian petro refining sector using the SFTOPSIS method.

Findings

The ranking of sustainable vendors is obtained through the integrated application of the fuzzy and stochastic approach to capture the uncertainties in the ratings of DMs. The sensitivity analysis is carried out at distinct confidence limits of a normal distribution to obtain a robust ranking of the vendors. In this paper, a case application of SFTOPSIS in the Indian petro refining sector is presented in which key criteria and the vendor ranking are found to be changing with confidence limit for sustainable vendor evaluation.

Practical implications

The fuzziness and randomness in relative ratings collects from a group of DMs are taken in the proposed methodology. The distinct approaches are compared with changing significance-level under stochastic, fuzzy and deterministic TOPSIS to acquire robustness in the ranking. The proposed SFTOPSIS model can be useful to practitioners from the petroleum sector.

Originality/value

The originality of the paper contributes to an application of the SFTOPSIS method that is the extension of FTOPSIS in the petro refining sector of a developing country. The sensitivity analysis with distinct significance-level shows the uncertainties in the collected ratings from the DMs that supports robustness in the ranking. It might be helpful for SC professionals from the petro refining sector, who assess the rank of the vendors at different confidence limits for sustainable supply of spare-parts. Further research in the petroleum industry from emerging economies needs to be undertaken to broaden its scope and applicability.

Details

Benchmarking: An International Journal, vol. 29 no. 3
Type: Research Article
ISSN: 1463-5771

Keywords

Access Restricted. View access options
Article
Publication date: 11 February 2019

Md. Tanweer Ahmad and Sandeep Mondal

This 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…

423

Abstract

Purpose

This 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/approach

An 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.

Findings

The 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 implications

This 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/value

It 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.

Details

Journal of Modelling in Management, vol. 14 no. 1
Type: Research Article
ISSN: 1746-5664

Keywords

Access Restricted. View access options
Article
Publication date: 4 November 2021

Muhammad Abbas Ranjah, Amir Ismail, Muhammad Waseem, Saira Tanweer, Baila Ahmad, Tahir Mehmood, Faiz-Ul-Hassan Shah, Zulfiqar Ahmad, Majid Hussain and Tariq Ismail

This study aims to compare the antioxidant and antimicrobial activity of different parts (tip, mid and base portion) of lemongrass leaves for application as a natural ingredient…

331

Abstract

Purpose

This study aims to compare the antioxidant and antimicrobial activity of different parts (tip, mid and base portion) of lemongrass leaves for application as a natural ingredient in the functional drink.

Design/methodology/approach

Lemongrass leaf powder was prepared from different parts of leaves and evaluated for nutritional composition. Additionally, the extracts of different portions of lemongrass leaves were analyzed for total phenolics, free radical scavenging activities, ferric reducing antioxidant potential (FRAP) and antimicrobial activities for their application in food products.

Findings

Tip portion of lemongrass leaf anticipated significantly (p < 0.05) higher contents of ash, protein, calcium, potassium and iron i.e. 6.2 mg/100 g, 18 mg/100 g, 340 ppm, 819 ppm and 32 ppm, respectively. Maximum (p < 0.05) phenolics (14.7 mg GAE/100 g), 2,2-diphenyl-1-picryl-hydroxyl (86.3%) and FRAP (200 mmol/100 g) were observed in lemongrass leaf tip methanolic extracts. Moreover, lemongrass leaf tip hydro-methanolic extracts portrayed maximum zone of inhibition against E. coli and Staphylococcus aureus i.e. 16.7 and 18.2 mm, respectively.

Practical implications

This study demonstrated higher antimicrobial and antioxidant activities of the tip of lemongrass leaves as compared with mid and base portions, hence suggesting its role in the improvement of physicochemical, antimicrobial and antioxidant properties of food products. Consequently, the application of lemongrass methanolic extract up to 10% remarkably enhanced the nutritional value and sensorial acceptance of the beverages.

Originality/value

The present research draws evidence from laboratory analysis of fresh lemongrass grown in Pakistan. The findings suggest that lemongrass methanolic extracts could be used as a nutritionally rich source of antioxidant activity in functional drinks.

Details

Nutrition & Food Science , vol. 52 no. 4
Type: Research Article
ISSN: 0034-6659

Keywords

Access Restricted. View access options
Article
Publication date: 26 February 2024

Varsha Vihan, V.P. Singh, Pramila Umaraw, Akhilesh Kumar Verma, Shardanand Verma and Chirag Singh

The purpose of this study is to investigate the impact of integrating “Licorice powder” into curd balls on their storage stability under refrigeration conditions. Through this…

37

Abstract

Purpose

The purpose of this study is to investigate the impact of integrating “Licorice powder” into curd balls on their storage stability under refrigeration conditions. Through this examination, this study aims to evaluate the potential effects of licorice powder on extending the shelf life, maintaining quality attributes and preserving the overall stability of curd balls when stored at refrigeration temperatures.

Design/methodology/approach

Licorice powder, in varying quantities (1%, 2% and 3%), was incorporated into curd balls alongside a control group lacking licorice (0%). These batches were subsequently stored for 25 days under refrigeration at a temperature of 4 ± 1ºC, using aerobic packaging conditions. During this storage period, the samples were regularly monitored and analyzed for various parameters to assess changes in their properties and qualities.

Findings

The findings indicated that in the treatment groups, pH and titratable acidity were notably lower than those in the control group (p = 0.05). Curd balls enriched with licorice powder exhibited significantly higher levels of 2, 2-diphenyl-1-picrylhydrazyl, 2-2-azinobis-3ethylbenthiazoline-6-sulphonic acid and total phenolic contents compared to the control (p = 0.05). Furthermore, curd balls containing licorice powder displayed notably lower levels of peroxide, thiobarbituric acid reactive substances and free fatty acids in comparison to the control (p = 0.05). Among all samples, T3 (3%) demonstrated significantly less microbial growth (p = 0.05) than the other groups. Conversely, the sensory panel rated T2 significantly higher than T3 (p = 0.05).

Originality/value

The investigation highlights that curd balls enriched with 2.0% licorice powder demonstrated significant efficacy in preventing the deterioration of physicochemical attributes, enhancing antioxidant capacity, restraining lipid oxidation, curbing microbial growth and ultimately exhibiting the most favorable organoleptic properties among the tested variations. This finding underscores the potential of incorporating 2.0% licorice powder as an effective agent for bolstering the storage stability and overall quality of curd balls during refrigerated storage.

Details

Nutrition & Food Science , vol. 54 no. 3
Type: Research Article
ISSN: 0034-6659

Keywords

1 – 6 of 6
Per page
102050