Apparel Textiles Research Articles

Effect of hydrophilic and hydrophobic treatments on bloodstain patterns of drip stains on knitted cotton and polyester fabrics

ABSTRACT Textiles are one of the most frequently collected items at crime scenes. Even so, the mechanisms that create bloodstains on textiles are not well understood. This is likely due to the wide range of textiles and the many surface treatments given to them to enhance their performance. In this study, the final appearance of 50 μl passive drip stains on four in-house knitted apparel textiles (scoured cotton, hydrophobic cotton, hydrophilic polyester and hydrophobic polyester) was investigated. The yarns used to make the knits were 167 dTex polyester filament and 342 dTex cotton staple yarns. They were knitted on the same knitting machine under nominally identical conditions. The area of bloodstains on the scoured cotton knit fabrics was 46 mm2 and 30 mm2 on the hydrophobic cotton. i.e. the stains on the hydrophilic cotton were 50% larger than on the hydrophobic cotton. The bloodstains on hydrophobic polyester were only 15.6 mm2, but were 242 mm2 on hydrophilic polyester, i.e. 15 times larger. The stain areas on the polyester were both smaller (hydrophobic finish) and larger (hydrophilic finish) than on the cotton fabrics. It is shown that these typical chemical treatments play a much more important role on bloodstain areas than fibre type or fabric construction.

패션디자인 및 머천다이징 전공의 역량 추출에 대한 기초 연구

The aim of this study is to identify the competencies required for fashion-related majors that meet contemporary demands, align with the objectives of university education, and reflect the qualities desired in graduates. To achieve this goal, we conducted content analysis of relevant data and in-depth interviews with experts. First, the content analysis involved coding key information from the introductions, educational goals, desired qualities of graduates, and curricula published on the websites of both South Korea and international fashion-related universities. Additionally, we analyzed the National Competency Standards (NCS) and the Meta-goals of higher education programs set by the International Textile Apparel Association (ITAA), extracting six core competencies. Second, in-depth interviews were conducted with six experts, each with 23 to 31 years of experience in Korean and international apparel industry and academia. The interviews were recorded, transcribed, and keywords were extracted. To ensure the validity of the coding results, cross-checks were performed among the researchers. The analysis identified the following competencies: empathic communication, social responsibility, professional thinking, creative and integrative thinking, global perspective, and challenging leadership. Based on these findings, establishing competencies that meet contemporary demands and developing corresponding curricula are essential steps towards creating a feedback system. Future research should focus on developing and implementing curricula that foster a virtuous cycle, ultimately enhancing students' competency levels.

Valorisation of cotton post-industrial textile waste into lactic acid: chemo-mechanical pretreatment, separate hydrolysis and fermentation using engineered yeast

BackgroundThe textile industry has several negative impacts, mainly because it is based on a linear business model that depletes natural resources and produces excessive amounts of waste. Globally, about 75% of textile waste is disposed of in landfills and only 25% is reused or recycled, while less than 1% is recycled back into new garments. In this study, we explored the valorisation of cotton fabric waste from an apparel textile manufacturing company as valuable biomass to produce lactic acid, a versatile chemical building block.ResultsPost-industrial cotton patches were pre-treated with the aim of developing a methodology applicable to the industrial site involved. First, a mechanical shredding machine reduced the fabric into individual fibres of maximum 35 mm in length. Afterwards, an alkaline treatment was performed, using NaOH at different concentrations, including a 16% (w/v) NaOH enriched waste stream from the mercerisation of cotton fabrics. The combination of chemo-mechanical pre-treatment and enzymatic hydrolysis led to the maximum recovery yield of 90.46 ± 3.46%, corresponding to 74.96 ± 2.76 g/L of glucose released, which represents a novel valorisation of two different side products (NaOH enriched wastewater and cotton textile waste) of the textile industry. The Saccharomyces cerevisiae strain CEN.PK m850, engineered for redirecting the natural alcoholic fermentation towards a homolactic fermentation, was then used to valorise the glucose-enriched hydrolysate into lactic acid. Overall, the process produced 53.04 g/L ± 0.34 of l-lactic acid, with a yield of 82.7%, being the first example of second-generation biomass valorised with this yeast strain, to the best of our knowledge. Remarkably, the fermentation performances were comparable with the ones obtained in the control medium.ConclusionThis study validates the exploitation of cotton post–industrial waste as a possible feedstock for the production of commodity chemicals in microbial cell-based biorefineries. The presented strategy demonstrates the possibility of implementing a circular bioeconomy approach in manufacturing textile industries.Graphical

Cotton–Cork Blended Fabric: An Innovative and Sustainable Apparel Textile for the Fashion Industry

Cotton is a preferred textile fiber for apparel textiles and is used primarily for summer wear. However, cotton has drawbacks, such as poor wrinkle resistance, and therefore, blends of cotton with other fibers have gained acceptance in the industry. In this study, a novel 90:10 cotton–cork blended fabric was studied for its physical and performance properties and benchmarked against a 100% cotton fabric. Fabric samples were analyzed to determine the wrinkle recovery angle, tenacity, abrasion resistance, shrinkage, CLO value, moisture absorption, and dyeability. The samples were further analyzed using SEM, DSC, and FTIR. The results showed significant differences between the two fabrics. Cotton–cork blended textile fabric had higher performance properties with the potential to be a viable, sustainable apparel textile.

Research on Sustainable Innovation and Cultural Integration of Textile Apparel Supported by Information Technology

Abstract In the field of apparel design, the traditional manual work method can no longer meet the requirements of production and market, and the application of information technology in textile and apparel design has become increasingly important. The article outlines the significance and value of integrating cultural elements in textile apparel design and evaluates the significance and applications of information technology in textile apparel design. From the perspective of cultural genes, the article explores the cultural design factors in textile apparel design and establishes a cultural gene pool for textile apparel design. Based on the DCGAN model, the DCGAN model is improved by optimizing the loss function and residual module to construct the textile clothing style migration model. In order to verify the effectiveness of the above model in the sustainable design of textile apparel, the style migration of textile apparel and visual similarity were verified, and the attributes of sustainable design needs, importance, and satisfaction of textile apparel were evaluated. The IS values of the improved DCGAN model for textile apparel design were 0.428 and 0.439, and the visual similarity scores of the sample and migrated apparel ranged from 6.21 to 7.03. The coefficient of incorporating cultural themes reached a maximum of 75.19%, and the subjects’ satisfaction score with the culture of the textile dresses was the highest at 6.23 points. Relying on information technology can explore the connotations of cultural elements and provide a diversity of textile apparel design development.

Sustainable augmentation in lyocell knitted sportswear functionality by in-situ synthesis of biogenetically reduced silver nanoparticles

Metal nanoparticles, well-known for their enhanced quality characteristics, are prepared by many chemical and physical methods. The biosynthesis method for preparing nano-particle becomes more popular due to increased environmental safety concerns and the complicity involved in other methods. Its superiority over other methods is evidenced by the fact that it is produced in aqueous solution at room temperature without the use of additives or accelerating agents, and without any significant energy or waste inputs. The nano-edged antibacterial fabric if developed using green technology and in a single step rather than following a multi-stepped process can set up milestones for the commercial variability of the nanocomposite. The present investigation deals with the development of ecological, economical, and highly stable silver nanoparticles (AgNPs) synthesized within the polymer matrix of Lyocell knitted fabric using the green route. Azadirachta Indica leaves extract was used as a stabilizing agent. The lyocell fabric augmented with silver nanoparticles was characterized for its surface morphology by scanning electronic microscopy (SEM) technique. The uniform distribution of AgNPs was seen from the SEM image. The chemical structure of the composite material was evaluated by energy dispersive spectroscopy analysis (EDS) and further confirmed by Fourier Transform Infrared Spectroscopy (FTIR). EDS detects 0.26 wt % of Ag element. The changes in its functional properties, like; antibacterial, UV protection (UPF), and moisture management (MMT) on treatment were also worked out concerning untreated feeder fabric. Silver nano-mediated bioactive lyocell knit has executed 98% and 94% resistance against gram +ve and gram –ve bacterium respectively, improvement in the UPF value, and becoming moisture management fabric as revealed by the MMT standard. The biogenic fabric can potentially be utilized for hygienic apparel textiles.

Dampak Green Campaign pada Media Sosial Terhadap Purchase Intention Slow Fashion Product dengan Environmental Attitude sebagai Variabel Mediasi

According to a survey by the Ministry of Industry, in 2019, the export growth of the apparel textile industry in Indonesia increased significantly to 56% of creative economy exports. Fast-fashion products encourage consumers to dress continuously, following trends at low cost. The fact is that fast-fashion products harm both social and environmental aspects. However, slow-fashion products have a longer product life cycle, better quality, and relatively higher prices and require full awareness from fashion businesses and consumers to slow down the production and consumption cycles of fashion products. Slow-fashion businesses carry out campaigns through Instagram, hoping that consumers will become aware of environmental conditions, adopt green behaviour and change attitudes toward consuming slow-fashion products to preserve the environment. This research is expected to provide information to slow-fashion businesses regarding purchase intention and environmental attitudes from green campaigns through Instagram to support environment-based business activities, especially slow-fashion products from Indonesia. The quantitative research method is obtained from a Likert scale questionnaire survey and analyzed using Structural Equation Modeling. Using the convenience sampling method, 128 respondents found that green campaigns and environmental attitudes positively and significantly affect the purchase intention of slow-fashion products. Furthermore, environmental attitude is mediating variable between green campaigns and slow fashion product purchase intention

Human Body Shapes Anomaly Detection and Classification Using Persistent Homology

Accurate sizing systems of a population permit the minimization of the production costs of the textile apparel industry and allow firms to satisfy their customers. Hence, information about human body shapes needs to be extracted in order to examine, compare and classify human morphologies. In this paper, we use topological data analysis to study human body shapes. Persistence theory applied to anthropometric point clouds together with clustering algorithms show that relevant information about shapes is extracted by persistent homology. In particular, the homologies of human body points have interesting interpretations in terms of human anatomy. In the first place, anomalies of scans are detected using complete-linkage hierarchical clusterings. Then, a discrimination index shows which type of clustering separates gender accurately and if it is worth restricting to body trunks or not. Finally, Ward-linkage hierarchical clusterings with Davies–Bouldin, Dunn and Silhouette indices are used to define eight male morphotypes and seven female morphotypes, which are different in terms of weight classes and ratios between bust, waist and hip circumferences. The techniques used in this work permit us to classify human bodies and detect scan anomalies directly on the full human body point clouds rather than the usual methods involving the extraction of body measurements from individuals or their scans.

Properties of Himalayan Nettle Fiber and Development of Nettle/Viscose Blended Apparel Textiles

ABSTRACT Nettle plants are grown naturally as forest weeds in Himalayan region without much explored economic value. The plant remains under-explored as far as extraction of fiber for textile and other industrial applications are concerned. Present study highlights a complete information, starting from fiber extraction, retting, production of blended yarns & fabrics, coloration and products development along with cost analysis. Himalayan nettle plant was considered for fiber extraction through microbial retting, yielded 1.25% dry fiber. Extracted fiber was characterized in details for physical, mechanical, chemical, thermal and morphological properties. Fiber having fineness of 2.2–2.4 tex, tenacity of 10–16 cN/tex, and elongation of 3% was blended with viscose fiber in 100/0, 75/25, 50/50, and 25/75 ratios to produce blended yarns. Those yarns and bleached & dyed yarns were utilized as weft to produce fabric in handloom, keeping cotton yarn as warp. Yarns and fabrics properties were also evaluated in detail. Apparel textile products, like female fashion wear (cost $ 13) and “shawl” (cost $ 39), were produced. The developed products are not only be fashionable apparel but also be fully biodegradable. Research findings advocate that nettle plant may be considered as an untapped potential source for fiber extraction and application in apparel textile.

Peracetic acid bleaching of banana fibre: Process optimisation

AbstractBanana is an important commercially available natural fibre, suitable for making coarse yarns. It has also potential for making fine home and apparel textiles after requisite chemical intervention or blending with other fine fibres. For making such products, chemical processing, namely bleaching, coloration and finishing, play an important role. Bleaching of fibre is generally carried out in highly alkaline condition and at high temperature of 85°C using hydrogen peroxide to achieve whiteness index of > 70 with about 25% loss in tensile strength. To achieve a similar whiteness index, while addressing strength loss, a fibre friendly low‐temperature low‐alkali based peracetic acid (PAA) bleaching of banana fibre has been proposed in the present article. Important bleaching process parameters, namely PAA concentration (10–30 g/L), time (60–180 min) and temperature (60–80°C), have been varied for optimisation of the bleaching process. Banana fibre bleaching using PAA concentration of 20 g/L at 70°C for 2 h can produce fibre with whiteness index of > 70, which is suitable for subsequent coloration. The PAA bleached banana fibre can retain 84% of its bundle strength and 95.6% of its weight. Physical (strength, fineness), chemical (attenuated total reflectance Fourier‐transform infrared [ATR‐FTIR], energy dispersive X‐ray spectroscopy [EDX]), optical (colour) and morphological (scanning electron microscopy [SEM]) properties of banana fibres before and after bleaching were evaluated to study the efficacy of the process.

Bacterial cellulose grown from kombucha: Assessment of textile performance properties using fashion apparel tests

Bacterial cellulose (BC) has been suggested as a sustainable alternative textile for apparel. Previous studies have evaluated the production of BC sheets and the suitability of these to form garment shapes. The laboratory measured physical performance characteristics of BC from an apparel perspective remain relatively unexplored. The aim of this study was to produce reproducible sheets of BC, enabling the evaluation of the performance of the BC in an apparel textile testing context, and comparison to other textile materials. Grown in sterile black tea with glucose, the BC presented as a mesh of non-woven nanofibers, and thus comparison was made with three non-woven fabrics. It has also been suggested that BC could be used as ‘vegetable’ leather; therefore, performance comparisons were conducted with animal skins. Utilizing British, European and International standard test methods, the selected fabrics were evaluated for their performance in tensile, elongation, moisture vapor permeability and abrasion tests, relevant for an apparel end-use. Tensile strength testing revealed that BC is weaker than its animal counterparts but does display similar physical characteristics at the point of failure; however, it displayed a higher tensile strength than the non-woven fabrics chosen for comparison. BC was the least breathable and most moisture-retentive of all the fabrics tested, raising questions regarding its suitability and comfort for apparel applications in its untreated state. However, BC displayed superior performance when tested for resistance to abrasion, suggesting it could be best utilized in the form of encapsulated patches in items subjected to this type of damage.

Carbon nanomaterials staked with nonwoven (EG/PAN/CQDs) composite as a counter electrode for enhanced photons and photocatalytic efficiency

Prior studies on heavy metal heterojunction with carbon nanomaterials for dye-sensitized solar cells (D-SSCs) found that they were not only toxic but also had poor stability and led to a difficult synthesis. In this work, nanomaterials with flexible nonwoven sheets were employed to improve cell efficiency and were easily synthesized with high stability, durability, washability, and flexibility. By incorporating carbon quantum dots (CQDs) into the anode and counter electrodes, it is possible to boost photon efficiency by scattering the sunlight and turning a huge amount into current density. Here in this research, Textile carbon–based flexible dye-sensitized solar cells (TC-DSSC) with N-doped CQDs may significantly increase solar cell efficiency. Carbon-based nanoparticles stacked with textile apparel (nonwoven bamboo) sheets enabled the desired flexible end applications to be achieved. The prepared material significantly increased solar cell efficiency to 11.26% compared to 8.04% of the one without CQDs. Carbon-based nanomaterials are stacked with textile apparel (nonwoven bamboo) sheets to make them lightweight, highly flexible, wearable, and user-friendly. Furthermore, compared to pure expanded graphite on the nonwoven substrate, a single electrode incorporating CQDs offered low impedance and high current/voltage. On the other hand, when tested for photocatalytic activity using spectrophotometry, the proposed counter electrode made of expanded graphite, PAN, and CQDs loaded on nonwoven material completely degraded the methylene blue dye in a very short period of time. The N-CQDs may prove to be very stable with outstanding washing endurance anchored with expanded graphite layered on a nonwoven medium with an optimum thickness.

Utilization of Nigerian mango (Mangifera indica L) leaves dye extract for silk fabric coloration: Influence of extraction technique, mordant and mordanting type on the fabric color attributes

Abundance, sustainability and environmental awareness are the impetuses for increasing global interest in new shades of the plant as an alternative to hazardous synthetic dyes for industrial applications. The purpose of this study was to evaluate the potential ability of dye extracts from Nigerian mango leaves (MLs) (obtained through microwave (MW)-assisted and aqueous extraction techniques) to color silk fabric with a range of appealing shades (yellow to brown) generated through metal- and bio-mordanting processes. The effects of pH, contact time, and temperature were studied to determine optimum conditions for dyeing silk fabric in the MLs dye bath. The pH value of 3, contact time of 60 min, and dyeing temperature of 70 °C were found to be the optimum dyeing parameters. MW as a modern heating tool enhanced the yield, dye exhaustion (E), and color strength (K/S) of MLs dyed silk fabric by 46.31 %, 23.65 %, and 9.27 %, respectively. It also improved the color properties (shade, color coordinates, and fastness properties) of the MLs dyed silk fabric. The satisfactory affinity of unmordanted silk fabric for MLs dye extract was enhanced and found to be very good for metal-mordanted and excellent for bio-mordanted silk fabric. Excellent anti-oxidant activity and UV protection were obtained after MLs dyed silk fabric was bio-mordanted. The bio-mordants used in this study were sustainable and eco-friendly alternatives to toxic transition metals, which are often used as mordants for natural dyed textile apparel. The study established MLs dye extracts as non-toxic, abundant and sustainable coloring materials for dyeing silk fabric on an industrial scale.

Simulation-based setting suggestions for yarn winding units to reduce color variation in knitted fabric

The finishing of yarns by bobbin dyeing is of key importance in the value chain of home and apparel textiles. In the bobbin dyeing process, yarn bobbins are placed on dye spindles and passed through with dye liquor. If the winding process parameters are selected unfavorably, the density of the winding package is inhomogeneous. The inhomogeneous density distribution leads to an inhomogeneous flow of dye liquid through the package and, hence, to dyeing defects. In order to minimize dyeing defects and to reduce set-up times, we present a simulation-based parameter recommendation for cross-winding machines in this paper. We use a kinematic model of the winding process combined with an empirical model for the package diameter to optimize the package density distribution. We introduce a criterion to avoid patterning defects and adapt winding settings. For bobbins with Nm 34 Co yarn, the homogeneity of the density was improved and the color deviation was reduced by up to 50% due to these simulation-based setting suggestions.

Preliminary Studies on Conversion of Sugarcane Bagasse into Sustainable Fibers for Apparel Textiles

Owing to increased environmental awareness and the implementation of stringent governmental regulations, the demand for the valorization of natural fibers has increased in recent years. Sugarcane bagasse after juice extraction could be a potential source of natural fibers to be used in textile applications. In this paper, sugarcane bagasse is converted to textile fibers. Sugarcane fibers are extracted through alkali and H2O2 treatment with varying concentrations (6, 10, 14) g/L and (8, 12, 16) g/L, respectively. To soften the fibers for textile use, extracted fibers were post-treated with a constant ratio of silicone softener (50 g/L). Treatment of sugarcane fibers with varying concentrations of alkali–H2O2 significantly influenced the fiber surface morphology. Furthermore, an increase in the crystallinity of extracted fibers was observed, whereas a reduction in fiber linear density from 54.82 tex to 45.13 tex as well as moisture regain (6.1% to 5.1%) was observed as the ratio of alkali–H2O2 treatment was increased. A notable improvement in overall mechanical strength was achieved upon alkali–H2O2 treatment, but at a higher concentration (conc.) there was a loss of mechanical strength, and the torsional and flexural rigidity also increased significantly. Based on the results, sugarcane fibers treated with 10 g/L NaOH, 12 g/L H2O2 and 50 g/L silicone softener showed the most optimum results. These sustainable fibers have the potential to be used in textile applications due to their enhanced softness, optimum moisture regain, and better mechanical properties.

Machine learning–assisted efficient demand forecasting using endogenous and exogenous indicators for the textile industry

ABSTRACT Demand forecasting is quite volatile and sensitive to several factors. These include firm-specific, i.e., endogenous as well as exogenous parameters. Endogenous factors are firm-specific, whereas exogenous factors are the macroeconomic indicators that significantly influence the demand forecasting of the firms involved in international trade. This research study investigates the significance of endogenous and exogenous indicators of demand forecasting. For this purpose, we use daily production data from a textile apparel firm for the period from May 2021 to January 2022. In the first step, we employ generalized least square and single-layer perceptron models for coefficient estimation to investigate the impact of each indicator. In the second step, we use linear regression (LR), support vector regression (SVR), and a long short-term memory (LSTM) model for demand forecasting. The forecasted results using SVR and LSTM reveal that errors are reduced when exogenous indicators (exchange and interest rates) are used as inputs.

PENGARUH INFLASI, KURS DOLAR AS, DAN IJEPA TERHADAP EKSPOR TEKSTIL PAKAIAN JADI INDONESIA KE JEPANG

Indonesia is an agrarian country that makes the non-oil and gas sector as a mainstay sector in trade in this non-oil and gas sector whose influence in trade is industrial commodities such as those that enter into non-oil and gas exports consist of textile commodities apparel whose main purpose of export is Japan, and to facilitate international trade made international trade agreements one of which is between Indonesia and Japan known as Indonesia-Japan Economic Partnership Agreement (IJEPA). Based on the results of research and analysis can be concluded that simultaneously variable Inflation, EXCHANGE Rate OF US Dollar and IJEPA has a significant effect on the Export Value of Textile Apparel Indonesia. Inflation partially negatively affects the export value of Indonesian Apparel Textiles, while the EXCHANGE Rate of US Dollar and IJEPA has a significant positive effect on The Export of Indonesian Apparel Textiles. Variable Exchange Rate US Dollar has a more dominant influence on the value of Textile Exports Finished Clothing Indonesia than other free variables namely variable Inflation and IJEPA.
 Keywords :Inflation, US Dollar Exchange Rate, IJEPA, Export Value of Apparel Textiles Klasifikasi JEL: E31, F21, F53, C67

Application of fungi resistance on cotton fabric using aloe vera active component

PurposeThis paper aims to prevent cotton textiles from fungi damage using eco-friendly aloe vera leaf extract, which was applied at a minimum amount, and cost-effective material.Design/methodology/approachBatch extraction method using methanol solvent; phytochemical analysis was investigated and three-level factorial design of experiment and analysis of variance (ANOVA) was used for the optimization of 27 test runs. The finish was applied by pad-dry-cue at distinct concentrations, and the chemical property after treatment was studied. Colorfastness and coordinates are analyzed. Cotton fabrics were cultured with Fusarium oxysporum fungi and the anti-fungal property was examined and reported according to AATCC 30–2004 standard.FindingsThe maximum yield of extract was at an optimum volume of 200 ml, 65 °C for 120 min. The effective antifungal fabric was achieved with minimum concentrations. There was significant strength loss in warp and weft direction. The treatment results in yellow-colored cotton fabric with fastness grade 3. The antifungal effect is durable until fifteen washes as the tensile strength losses were less than 1%.Research limitations/implicationsThe findings of this work were based on samples considered in the laboratory. However, it can be reproducible at the factory production scale the treatment has the potential of yielding yellow dyed cotton fabric with multifunctional finishing.Practical implicationsThe treated fabric is against Fusarium oxysporum Fungi which is one of the vital antimicrobial properties of textile apparel products for various areas of application.Social implicationsThe natural extract material applied to a textile material is eco-friendly effective against microbes of cotton seeds during cultivation and apparel end-uses.Originality/valueThe work application of fungi resistance on cotton fabric using aloe vera active component was original; this work provides extraction of the active agent from aloe vera leaf, which is optimized statically and successfully applied for anti-fungal activity on cotton fabric.

Novel germanium-polyamide6 fibers with negative air ions release and far-infrared radiation as well as antibacterial property

There has been much concern about germanium because of its special atomic nuclear structure to generate negative electrons and far-infrared ray. In this study, novel germanium-polyamide6 fibers were prepared by using micro–nano structured germanium particles as a functional component via melt spinning. The effects of germanium concentration on the morphology, mechanical, negative air ion-releasing, and far-infrared radiation properties of the germanium-polyamide6 fibers were systematically investigated. Besides, the antibacterial activity and mechanism of the fibers against Staphylococcus aureus and Escherichia coli were also discussed. Even though the added germanium particles negatively affected the mechanical performance of the fiber, they were distributed well in the polyamide6 substrate when the concentration was increased from 2% to 6%. Increasing the temperature and pressure induced the germanium-polyamide6 fibers to produce more negative air ions and high far-infrared emissivity. The negative air ion-releasing property of the fiber led to antibacterial performance against S. aureus with more than 99% antibacterial rate. The results confirmed the great application potential of germanium in healthcare, medical, home, and apparel textiles.

Application of goal programming in the textile apparel industry to resolve production planning problems a meta-goal programming technique using weights

In the present business environment, rapidly developing technology and the competitive world market pose challenges to the available assets of industries. Hence, industries need to allocate and use available assets at the optimum level. Thus, industrialists must create a good decision plan to guide their performance in the production sector. As a result, the present study applies the Meta-Goal Programming technique to attain several objectives simultaneously in the textile production sector. The importance of this study lies in pursuing different objectives simultaneously, which has been almost ignored till now. The production scheduling problem in a textile firm is used to illustrate the practicability and mathematical validity of the suggested approach. Analysis of the results obtained demonstrates that the solution met all three meta-goals with some original goals being met partially. An analysis of the sensitivity of the approach to the weights of the preferences was conducted.