Raw material management networks based on an improved P‐graph integrated carbon emission pinch analysis (CEPA‐P‐graph) method

Management of post-production wood waste in the aspect of circular economy. Sustainable resource management involves turning waste into resources. The estimation of various waste streams and their potential use as secondary raw materials underlies the circular economy. The management of wood waste in terms of the Circular Economy should assume material use of this waste before energy use. One of the possibilities of material management of this waste is the use of biological treatment through composting. Input materials for the composting process should have technological and physical-chemical characteristics, respectively. The aim of this study was to characterize the wood raw material (wood waste as a by-product) and qualify it for the composting process on the basis of its composition. Based on the literature research, it was found that there is possibility of using these wastes for management through biological disposal. The obtained composts from wood waste can be used as a raw material to supply the soil with humic substances and mineral compounds.

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Supply chain coordination under nonlinear cap and trade carbon emission function and demand uncertainty

Kybernetes ◽

10.1108/k-06-2019-0408 ◽

2020 ◽

Vol ahead-of-print (ahead-of-print) ◽

Author(s):

Jafar Heydari ◽

Zahra Mirzajani

Keyword(s):

Economic Development ◽

Supply Chain ◽

Carbon Emission ◽

Revenue Sharing ◽

Raw Material ◽

Market Demand ◽

Cap And Trade ◽

Content Type ◽

Sustainable Economic Development ◽

Development Goals

Purpose This paper investigates to find whether it is possible to align the interests of a small and medium manufacturing enterprise (SMME) with its raw material supplier in a manufacturing supply chain (MSC) to achieve a sustainable solution. To this end, current study examines the coordination of an MSC under cap and trade consisting of a raw material supplier and a carbon-emitting SMME confronting a stochastic demand. Design/methodology/approach The model is developed under both the decentralized and centralized decision-making scenarios. Under the investigated model, the SMME decides on both production quantity and sustainability level simultaneously. To achieve coordination and align the interests of both MSC members toward sustainable economic development goals, a customized revenue-sharing contract is developed. Findings Although the centralized model is profitable for the MSC, it makes a loss for the SMME compared to the decentralized scenario. The revenue-sharing agreement is able to create coordination among the MSC members and optimize profitability and sustainability. The established revenue-sharing guarantees a Pareto-improving situation for both members. Applying the established contract not only reduces shortage occasions but also results in more sustainability levels, which in turn means movement toward attaining sustainable economic development goals. Originality/value Unlike previous studies, carbon emission is assumed as a nonlinear decreasing function of the sustainability level which is a more realistic case. In accordance with SMMEs business environments, the market demand is also assumed uncertain. In addition, instead of assuming an investment cost for sustainability, the authors assumed unit production/purchasing costs as functions of product sustainability level.

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The Efficiency of the Biogas Plant Operation Depending on the Substrate Used

Energies ◽

10.3390/en14113157 ◽

2021 ◽

Vol 14 (11) ◽

pp. 3157

Author(s):

Janina Piekutin ◽

Monika Puchlik ◽

Michał Haczykowski ◽

Katarzyna Dyczewska

Keyword(s):

Circular Economy ◽

Efficient Solution ◽

Sewage Treatment ◽

Sewage Treatment Plant ◽

Treatment Plant ◽

Biogas Plant ◽

Raw Material ◽

Material Management ◽

Biogas Plants ◽

Real Scale

The study aimed to assess the most efficient solution of raw material management in selected biogas plants into the concept of circular economy and evaluate the most efficient solution of raw material management in selected biogas plants due to the quality and quantity of the feed and the final product obtained, which is biogas, as well at the closed circulation (circular economy). The study evaluated two agricultural biogas plants on a real scale and one at the sewage treatment plant (in real scale) in northeastern Poland. A year-long study showed that in technical terms, the best work efficiency is achieved by agricultural biogas plants processing: silage, manure, apple pomace, potato pulp (biogas plant No. 1), followed by biogas plant No. 3 processing chicken manure, decoction, cattle manure, poultry slaughterhouse waste (sewage sludge, flotate, feathers), and finally, the lowest efficiency biogas plant was No. 2, the sewage treatment plant, which stabilized sewage sludge in the methane fermentation process. Moreover, based on the results, it was found that agricultural biogas gives the best efficiency in energy production from 1 ton of feed.

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Materials Management and Productivity of Fast Moving Consumer Goods Companies in Nigeria: A canonical Correlation Approach

Journal of Management and Social Science Research ◽

10.47524/jmssr.11.5 ◽

2020 ◽

Vol 1 (1/2) ◽

pp. 34-42

Author(s):

Egberi A. Kelvin ◽

Okorie Chiyem

Keyword(s):

Fast Moving ◽

Canonical Correlation ◽

Survey Design ◽

Consumer Products ◽

Raw Material ◽

Optimum Level ◽

Material Management ◽

Productivity Level ◽

Work In Progress ◽

Material Efficiency

In this paper, the effect of material management on productivity level of fast moving consumer products enterprises in Nigeria was assessed. The survey design was employed and questionnaire was the major instrument of data collection designed via two material management dimensions (raw materials and work-in- progress) and productivity dimensions (material efficiency and yield). Questionnaire were administered to three hundred and seven (307) respondents and data obtained were analyzed using Canonical correlation. Results of canonical correlation analysis revealed that the combination of material efficiency and yield (productivity proxies) had a statistically significant relationship on sets of material management being measured by raw material and work-in-progress. The study concludes that improvement in material management will increase the productivity of FMCG companies in Nigeria. Given the results of the study, improvements in material management is needed such that material requisition and conversion units should ensure that required materials for production of goods are those put into the production process in order to realize efficiency of production and superior yield of finished goods by fast moving consumer products organizations. In addition, fast moving products companies should ensure maintenance of optimum level of material resources in its store room and reduce unhealthy practice in material usage that are pivotal to reducing productivity.

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Optimasi Perencanaan Produksi Dengan Menggunakan Metode Goal Programing (Studi Kasus)

Talenta Conference Series Energy and Engineering (EE) ◽

10.32734/ee.v2i4.660 ◽

2019 ◽

Vol 2 (4) ◽

Author(s):

Didi Asmadi ◽

Prima Denny Sentia ◽

Septian Misbahul

Keyword(s):

Production Planning ◽

Goal Programming ◽

Raw Materials ◽

Programming Method ◽

Raw Material ◽

Material Management ◽

A Company

Perencanaan produksi merupakan hal yang sangat penting bagi perusahaan, karena dalam proses perencanaan ini akan menentukan jumlah produk yang akan di produksi. Dalam penelitian ini, permasalahan yang terjadi disebabkan karena perusahaan tidak memprediksi fluktuasi permintaan dengan tepat sehingga banyak produk yang dihasilkan mengalami penumpukan.Penumpukan yang terjadi merupakan kerugian karena penggunaan bahan baku yang berlebihan untuk produk yang tidakterjual. Oleh karena itu, pengelolaan bahan baku harus dilakukan dengan tepat. Dalam penelitian ini, metode yang digunakan untuk memprediksi permintaan adalah Winter dan goal programming untuk optimasi bahan baku. Metode Goal programming digunakan karena terdapat lebih dari satu fungsi tujuan dalam permasalahan.Penggunaan metode winter ini menghasilkan jumlah permintaan dengan tingkat akurasi 90% dari roti bandung 4.040 pcs, roti meises 4.149 pcs, roti tawar kupas 3.315 pcs, roti selai 4.095 pcs. Hasil yang diproleh diharapkan mampu memprediksi permintaan secara tepat sehingga penggunaan bahan baku dapat dioptimalkan menggunakan goal programming. Production planning is a very important key for a company, because production planner will decide the amount of products that will be produced.In this study,the problem occurred is that the company did not predict the exact demand fluctuation therefore there are many amount of products cumulated.This cumulation is also because the used of excessive raw materials for unsold products. Therefore the exact raw material management should be applied.In this study,the method that used to predicting the demand is Winter and Goal programming for the raw material optimization.Goal Programming method is used because there are more than one(fungsi tujuan)in one case.The result of Winter method is the amount of demand with 90% level of accuracy from roti bandung is 4040 pcs,roti meises is 4149 pcs,roti tawar kupas is 3315 pcs,and roti selai is 4095 pcs.The results is expected can be predicted the exact demand therefore the used of raw materials could be optimized using goal programming method.

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