* Corresponding Author
Supply Chain Performance and Quality Measurement of Dairy Cow Concentrate in Cooperative toward Sustainable Productivity: a Case Study
https://doi.org/10.21059/buletinpeternak.v45i1.60880 Norma Nuraina(1*), Atikah Nur Hamidah(2), Despal Despal(3), Epi Taufik(4)
(1) Graduate Student of Department of Animal Production and Technology, Faculty of Animal Science, IPB University, Bogor, 16680
(2) Graduate Student of Department of Animal Production and Technology, Faculty of Animal Science, IPB University, Bogor, 16680
(3) Department of Animal Nutrition and Feed Technology, Faculty of Animal Science, IPB University, Bogor, 16680
(4) Department of Animal Production and Technology, Faculty of Animal Science, IPB University, Bogor, 16680
(*) Corresponding Author
Abstract
This research aims to measure supply chain performance of dairy concentrate in cooperative with the SCOR-AHP approach and develop improvement based on the performance result, and to analyze the quality suitability as a basis to develop a comprehensive quality standard and its quality control mechanism. This research was conducted at a dairy farmer cooperative located in West Java. The analysis used to measure the performance was supply chain operation reference-analysis hierarchy process (SCOR-AHP). For measuring the product quality, ten post-production concentrate samples, 27 samples after the distribution process, and 25 samples for homogeneity test from five mixer machines were taken. Concentrate quality parameters were moisture, ash, crude fat, crude protein, crude fiber, total digestible nutrients (TDN), and salt content. Post-production samples data were compared with Indonesian National Standard (SNI) using one-tailed one-sample t-test, samples data from the field were tested using two samples independent t-tests compared to post-production samples data, and homogeneity test was seen from the coefficient of variation value of the salt content. The results show that the supply chain performance value of dairy cow concentrate at the cooperative is excellent. The nutrient content complies with SNI, but the homogeneity of the mixture is classified as poor category. The nutrient content of samples taken from the field shows differences with post-production samples except for TDN. The excessive total cost can be utilized to enhance performance in generating a better quality product. The cooperative should enhance homogeneity by concerning the mixing process and maintain the quality consistency by reformulating, stabilizing the quality of feedstuff, and calculating stock properly to avoid longer storage.
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Ahmed, M. S. H. 2015. Effect of storage temperature and periods on some characteristics of wheat flour quality. Food Nutr. Sci. 06: 1148–1159.
Apriyani, D., R. Nurmalina, and Burhanuddin. 2018. Evaluasi kinerja rantai pasok sayuran organik dengan pendekatan supply chain operation reference (SCOR). J. Ilm. Man 8: 312 - 335.
Asrol, M., Marimin, and Machfud. 2017. Supply chain performance measurement and improvement for sugarcane agro-industry. Int. J. Sup. Chain Mgt. 6: 8–21.
Axe, D. E. 1995. Factors affecting uniformity of a mix. Anim. Feed Sci. Technol. 53: 211–220.
Azhari, M. N. Syechalad, I. Hasan, and M. S. A. Majid. 2017. The role of cooperative in the Indonesian economy. Int. J. of Human. Soc. Sci. Inv. 6: 43-46.
BSN. 1998. SNI-19-0428-1998; Petunjuk Pengambilan Contoh Padatan. Badan Standardisasi Nasional, Jakarta.
BSN. 2009. SNI-3148.1:2009. Pakan Konsentrat-Bagian 1: Sapi Perah. Badan Standardisasi Nasional, Jakarta.
Bahagia, S. N. 2006. Sistem inventori. ITB Press, Bandung.
Baran, M. S., R. Demirel, D. S. Demirel, T. Şahin, and D. Yeşilbaǧ. 2008. Determination of the feeding values of feedstuffs and mixed feeds used in the Southeastern Anatolia Region of Turkey. Turkish J. Vet. Anim. Sci. 32: 449–455.
Behnke, K. C. 1996. Mixing and uniformity issues in ruminant diets. Mid-South Ruminant Nutrition Conference 1996. Texas Animal Nutrition Council pp. 6-11 https://www.txanc.org/docs/Mixing-and-Nutrient-Uniformity-Issues-in-Ruminant-Diets.pdf.
Bijman, J. 2018. Exploring the sustainability of the cooperative model in dairy: the case of the Netherlands. Sustain. 10: 1-15.
Bojanowska, M. 2017. Changes in chemical composition of rapeseed meal during storage, influencing nutritional value of its protein and lipid fractions. J. Anim. Feed Sci. 26: 157–164.
Boland, M. 2017. An Introduction to Cooperation and Mutualism, University of Minnesota Libraries Publishing, Minnesota.
Bolstroff, P. and R. Rosenbaum. 2003. Supply Chain Excellence. A Handbook for Dramatic Improvement Using the SCOR Model. Amacom, New York.
Bukhori, I. B., K. H. Widodo, and D. Ismoyowati. 2015. Evaluation of poultry supply chain performance in xyz slaughtering house yogyakarta using SCOR and AHP method. Agric. Agric. Sci. Procedia. 3: 221–225.
Cano, J. A., J. J. Vergara, and F. A. Fuerta. 2017. Design and implementation of balanced scorecard in a Colombian company. Espacios. 38: 19-32.
Chen, J., W. Xiang, Q. Xu, X. Sheng, S. Zeng, and Z. Sun. 2014. Test methods for mixing uniformity of hydrogenation catalyst supports in industrial production. Shiyou Huagong/Petrochemic. Technol. 43: 587-592.
Cimorelli, S. 2013. Kanban for The Supply Chain. Fundamental Practices for Manufacturing Management. 2nd Ed. CRC Press, New York.
Faysse, N., M. T. Sraïri, and M. Errahj. 2012. Local farmers’ organisations: a space for peer-to-peer learning? the case of milk collection cooperatives in Morocco. J. Agric. Educ. Ext. 18: 285–299.
Feyissa, F., A. Tolera, A. Deresse, T. Assefa, D. Geleti, and A. Duncan. 2014. Assesment of livestock feed production and utilization systems and analysis of feed value chain in Jeldu District, Ethiopia. Technical Report ILRI. 1-24.
Frankel, E. N. 2012. Lipid Oxidation. Woodhead Pub. Lim, Cambridge.
Gandhi, A., S. O. Sen, D. Manna, C. Roy, K. K. Sen, and S. D. Roy. 2017. Studies on the effect of mixing time, speed and concentration of one component on mixing index. Indian Res. J. Pharm. Sci. 04: 887–894.
Guo, P. P., P. L. Li, Z. C. Li, H. H. Stein, L. Liu, T. Xia, Y. Y. Yang, and Y. X. Ma. 2015. Effects of post-harvest storage duration and variety on nutrient digestibility and energy content wheat in finishing pigs. Asian-Australasian J. Anim. Sci. 28: 1488–1495.
Herrera, C. F. and C. F. Blanco. 2011. Consequences of consumer trust in PDO food products: the role of familiarity. J. Prod. Brand Manag. 20: 282–296.
Herrman, T. and K. Behnke. 1994. Testing mixer performance MF1172. Kansas State University Agricultural Experiment Station and Cooperative Extension Service Bulletin. http://anyflip.com/ogab/aecy. Accessed 4 January 2020.
Hossen, M. N., M. Das, K. R. Sumi, M. T. Hasan. 2011. Effect of storage on fish feed storage at room temperature and low temperature. Progress. Agric. 22: 115–122.
Junior, E. D. B., L. Ensslin, and R. M. Ensslin. 2011. Supply Chain performance evaluation: a case study in a company of equipment for refrigeration. IEEE Int. Technol Man. Conf. 969-979.
Kato, T. 2020. Factors influencing repurchase intention across corporate brand images, products, and sales in the automotive industry. J. Japan Ind. Manag. Assoc. 71: 12–23.
KPSBU. 2018. Laporan Rahunan ke-4. Koperasi Peternak Sapi Bandung Utara, Bandung.
Li, Y. Y., W. Xia, Z. Y. Zhou, K. J. He, W. Z. Zhong, and Y. B. Wu. 2010. Simulation of random mixed packing of different density particles. Chinese Phys. B. 19: 1–6.
Lombard, R., C. C. Van Waveren, and K. Y. Chan. 2014. Factors affecting quality in a manufacturing environment for a non-repairable product. Proceedings of the 2014 IEEE IEEM. Selangor Darul Ehsan, Malaysia.
Manzini, R., R. Accorsi, Z. Ayyad, A. Bendini, M. Bortolini, M. Gamberi, E. Valli, and T. G. Toschi. 2014. Sustainability and quality in the food supply chain : a case study of shipment of edible oils. Br. Food J. 116: 2069–2090.
Marimin, and Safriyana. 2018. Evaluation of palm oil supply chain’s performance, added value, and performance improvement: a case study at X Co. IOP Conf. Ser. Earth Environ. Sci. Universiti Putra Malaysia, Serdang, Selangor, Malaysia.
Marinagi, C. and P. Trivellas. 2014. Investigating the impact of supply chain management practices on delivery dependability. ACM Int. Conf. Proceeding Ser. Athens, Greece.
Monczka, R., R. J. Tren, and R. B. Handfield. 2011 Purchasing and Supply Chain Management. 5th edn. Cengage Learning, Ohio.
Moran, J. 2005. Tropical Dairy Farming : feeding management for small holder dairy farmers in the humid tropics. CSIRO Pub, Victoria.
Moran, J. and P. Morey. 2015. Strategies to increase the domestic production of raw milk in indonesia and other South East Asian Countries. Proceeding of "The 6th International Seminar on Tropical Animal Production". Yogyakarta, Indonesia.
Ward, R. E. and C. E. Carpenter. 2010. Traditional methods for mineral analysis. In: Food Analysis. 4th Ed. S. S. Nielsen (ed). Springer, West Lafayette, pp. 207.
Njarui, D. M. G., M. Gatheru, J. M. Wambua, S. N. Nguluu, D. M. Mwangi, and G. A. Keya. 2010. Challenges in milk processing and marketing among dairies in the semi-arid tropical Kenya. Livestock Res. and Rural Develop. 22. http://lrrd.cipav.org.co/lrrd22/2/njar22035.htm. Accessed 2 June 2020.
Ouyang, L. Y., J. T. Teng, and M. C. Cheng. 2010. A fuzzy inventory system with deteriorating items under supplier credits linked to ordering quantity. J. Inf. Sci. Eng. 26: 231–253.
Peng, D. X. and G. Lu. 2017. Exploring the Impact of Delivery Performance on Customer Transaction Volume and Unit Price: Evidence from an Assembly Manufacturing Supply Chain. Prod. Oper. Manag. 26: 880–902.
Pimentel, J. J. de O., R. de P. Lana, A. S. de Oliveira, R. M. A. Teixeira, and D. C. de Abreu. 2013. Dairy cows feeding with sorghum silage supplemented with concentrate. Pesqui. Agropecuária Trop. 43: 255–261.
Poozesh, M., H. Ghasemzadeh. S. Ablollahpour, and M. Amoli Diva. 2020. Effect of DL-methionine concentration, moisture content and bulk density of animal feed on the light-induced fluorescence as a process analytical tool. J. Sci. Technol. 28: 33-48.
Pretorius, C., G. A. Ruthven, and K. Von Leipzig. 2013. An empirical supply chain measurement model for a national egg producer based on the supply chain operations reference model. J. Transp. Supply Chain Manag. 7: 1–13.
Rahmah, U. I. L. 2020. Strategies to Strengthen Dairy Cooperatives Performance through Cooperative Financial Performance Approach. IOP Conf. Ser. Earth Environ. Sci. Majalengka, Indonesia.
Resti, Y., R. Baars, M. Verschuur, and G. Duteurtre. 2017. The role of cooperative in the milk value chain in West Bandung Regency, West Java Province. Med. Pet. 40: 210–217.
Ricard, D. 2015. Dairy cooperatives in the French Mountains. J. Alpine Res. 103: 1-13.
Romdonny, J. and M. L. N. Rosmadi. 2019. Factors affecting customer loyalty in products. BIRCI-Journal. 2: 337-343.
Rostini, T., D. Biyatmoko, I. Zakir, and A. Hidayatullah. 2017. the effect storage of quality and physical wafer forage complete based waste oil palm. Int. J. Adv. Res. 5: 1164–1170.
Saaty, T. L. 2008. Decision making with the analytic hierarchy process. Int. J. Serv. Sci. 1: 83-98.
SCC. 2012 .SCOR. Supply Chain Operations Reference Model Revision 11.0. USA, Supply Chain Council.
Zahera, R., I. G. Permana, and Despal. 2015. Utilization of mungbean’s green house fodder and silage in the ration for lactating dairy cows. Med. Pet. 38: 123–131.
Zhang, W. E., C. L. Wang, B. Bin Shi, and X. J. Pan. 2017. Effect of storage temperature and time on the nutritional quality of walnut male inflorescences. J. Food Drug Anal. 25: 374–384.
Zhou, H., W. C. Benton, D. A. Schilling, and G. W. Milligan. 2011. Supply chain integration and the SCOR model. J. Bus. Logist. 32: 332–344.
DOI: https://doi.org/10.21059/buletinpeternak.v45i1.60880
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