Evaluation of workplace safety performance in the Chinese petroleum industry

	1	4	6	8	10	11	13	16	17	22	23	26	28	30	32
1	1
4	0.101	1
6	0.381	0.3	1
8	0.201	0.455	0.369	1
10	0.201	0.299	0.288	0.292	1
11	0.138	0.394	0.304	0.338	0.443	1
13	0.116	0.495	0.174	0.33	0.399	0.425	1
16	0.241	0.307	0.212	0.423	0.083	0.148	0.276	1
17	0.06	0.087	0.066	0.23	0.072	0.221	0.2	0.363	1
22	0.228	0.265	0.328	0.217	0.193	0.286	0.259	0.155	0.202	1
23	0.206	0.277	0.37	0.316	0.339	0.352	0.338	0.317	0.093	0.285	1
26	0.087	0.355	0.24	0.431	0.387	0.369	0.349	0.221	0.142	0.154	0.451	1
28	0.275	0.31	0.471	0.328	0.192	0.33	0.176	0.252	0.182	0.442	0.373	0.294	1
30	0.163	0.361	0.33	0.518	0.313	0.386	0.462	0.257	0.232	0.317	0.416	0.47	0.253	1
32	0.041	0.179	0.075	0.098	0.223	0.247	0.346	0.061	0.134	0.265	0.276	0.354	0.056	0.237	1

Safety measures for improving safety performance in petroleum projects.

Improvement in people’s safety behaviors

M1: Safety training and increasing staff’s safety consciousness

M2: Improving safety communication and raising management ability

M3: Provision of welfare to employees

M4: Cultivating safety culture

Better equipment and facilities

M5: Enhancing equipment management and detecting hazards in time

M6: Investment in safety

M7: Updating safety techniques and facilities

Improving safety management standard

M8: Improving HSE system

M9: Strengthening supervision on safety

M10: Regular inspection on potential safety risks

M11: Increasing safety investment

M12: Implementing regular safety training programs

M13: Effective incentive policy

Statistical analysis of the safety measures for improving safety management.

Code	μ	σ²	$\frac{μ}{σ}$ {\mu \over \sigma }	Rank
M1	4.475524	0.585065	5.851157	1
M2	4.160839	0.540564	5.659229	2
M3	3.454545	1.017165	3.425274	13
M4	3.93007	0.918187	4.101425	9
M5	4.391608	0.62986	5.533523	3
M6	4.195804	0.716905	4.955463	5
M7	3.853147	0.950462	3.952284	10
M8	4.027972	0.86635	4.327526	7
M9	4.202797	0.735097	4.901919	6
M10	3.944056	0.905961	4.1437	8
M11	4.160839	0.69441	4.993129	4
M12	3.727273	0.939606	3.845195	11
M13	3.881119	1.181671	3.570332	12

Correlation analysis between the 10 important safety management measures.

	1	2	4	5	6	7	8	9	10	11
1	1
2	0.402	1
4	0.04	0.208	1
5	0.348	0.353	0.173	1
6	0.31	0.38	0.387	0.379	1
7	0.204	0.43	0.341	0.276	0.513	1
8	0.474	0.329	0.64	0.398	0.308	0.16	1
9	0.231	0.378	0.395	0.287	0.437	0.358	0.163	1
10	0.34	0.537	0.333	0.44	0.457	0.416	0.401	0.459	1
11	0.28	0.468	0.355	0.427	0.544	0.403	0.28	0.409	0.603	1

Safety factors in implementing petroleum projects.

Staff’s unsafe behaviorsF1: Violation on operating proceduresF2: Not wearing safety uniformsF3: Negativities and distractions from safety attentionF4: Poor safety consciousnessF5: Lack of safety skillsUnsafe working conditionsF6: Obsolete facilities and equipment failuresF7: Outdated techniquesF8: Lack of safety protection and damage of safety accessoriesF9: Unsafe working environmentManagement negligenceF10: Insufficient safety management systemF11: Insufficient supervisionF12: Improper operating proceduresF13: Low safety awareness of managerial staffF14: Insufficient investment in safetyF15: Poor communication for safety messagesF16: Improper commands

Safety performance assessmentF17: Number of casualtiesF18: Damage of key equipmentsF19: Injury rate per 1,000 peopleF20: Work loss rate per million hoursF21: Staff participation rate for safety managementFactors for selecting managerial staffF22: Production performances and operating skillsF23: HSE risk management abilityF24: Political qualityStaff’s annual appraisal and bonus distributionF25: Quantifiable workload or turnoverF26: Safety performanceF27: Participation performance in safety managementSelection of contractorsF28: Qualification grades and safety production licenseF29: Compensation for injury in the past 3 yearsF30: Accident ratesF31: Legal disputesF32: Performance of successful safety management

Responses on the importance of safety measures.

Code	Less significant			More significant		Total score

	1	2	3	4	5
M1	0	3	15	36	89	640
M2	0	2	23	68	50	595
M3	3	20	55	39	26	494
M4	1	10	35	49	48	562
M5	1	2	16	45	79	628
M6	0	6	22	53	62	600
M7	2	14	26	62	39	551
M8	0	6	42	37	58	576
M9	0	6	23	50	64	601
M10	2	8	33	53	47	564
M11	0	3	31	49	60	595
M12	2	11	47	47	36	533
M13	6	8	34	44	51	555

Responses on the importance of safety factors.

Code	Less significant			More significant		Total score

	1	2	3	4	5
F1	1	0	7	9	126	688
F2	1	21	39	47	35	523
F3	8	9	31	55	40	539
F4	2	8	24	48	61	587
F5	4	7	34	46	52	564
F6	2	2	20	38	81	623
F7	8	16	36	46	37	517
F8	1	7	17	54	64	602
F9	1	16	41	45	40	536
F10	3	5	37	49	49	565
F11	0	3	11	26	103	658
F12	2	23	30	50	38	528
F13	2	12	34	49	46	554
F14	8	19	46	47	23	487
F15	7	25	46	38	27	482
F16	4	6	13	21	99	634
F17	6	5	14	31	87	617
F18	7	6	40	53	37	536
F19	6	15	26	41	55	553
F20	3	18	33	39	50	544
F21	5	14	33	43	48	544
F22	0	3	30	46	64	600
F23	0	4	21	51	67	610
F24	10	17	34	41	41	515
F25	2	13	28	48	52	564
F26	4	6	28	51	54	574
F27	2	8	51	27	55	554
F28	3	3	21	34	82	618
F29	7	15	37	49	35	519
F30	1	10	28	47	57	578
F31	4	17	36	47	39	529
F32	5	6	23	52	57	579

Statistical analysis of the safety influencing factors.

Code	μ	σ²	$\frac{μ}{σ}$ {\mu \over \sigma }	Rank
F1	4.811189	0.33498	8.31272	1
F2	3.657343	1.050418	3.568491	21
F3	3.769231	1.198494	3.442983	22
F4	4.104895	0.933053	4.249608	9
F5	3.944056	1.045821	3.856686	16
F6	4.356643	0.760917	4.994399	5
F7	3.615385	1.313609	3.154433	30
F8	4.20979	0.781163	4.763099	6
F9	3.748252	1.013546	3.72312	19
F10	3.951049	0.927674	4.102181	11
F11	4.601399	0.519439	6.384439	2
F12	3.692308	1.150081	3.442974	23
F13	3.874126	1.005135	3.864218	15
F14	3.405594	1.164165	3.156354	29
F15	3.370629	1.254242	3.00968	31
F16	4.433566	1.014817	4.40108	8
F17	4.314685	1.124749	4.068378	12
F18	3.748252	1.083476	3.600967	20
F19	3.867133	1.345983	3.333261	27
F20	3.804196	1.234388	3.424026	25
F21	3.804196	1.234388	3.424026	26
F22	4.195804	0.702919	5.00452	4
F23	4.265734	0.656658	5.2641	3
F24	3.601399	1.470488	2.969891	32
F25	3.944056	1.045821	3.856686	17
F26	4.013986	0.992811	4.028492	13
F27	3.874126	1.075065	3.736426	18
F28	4.321678	0.88953	4.58218	7
F29	3.629371	1.22627	3.277466	28
F30	4.041958	0.935302	4.179418	10
F31	3.699301	1.161328	3.43275	24
F32	4.048951	1.039562	3.97116	14

eISSN:: 1847-6228
Sprache:: Englisch

Zeitrahmen der Veröffentlichung:: Volume Open
Fachgebiete der Zeitschrift:: Technik, Einführungen und Gesamtdarstellungen, andere

Zeitschrift RSS Feed

Code	Less significant			More significant		Total score

	1	2	3	4	5
M1	0	3	15	36	89	640
M2	0	2	23	68	50	595
M3	3	20	55	39	26	494
M4	1	10	35	49	48	562
M5	1	2	16	45	79	628
M6	0	6	22	53	62	600
M7	2	14	26	62	39	551
M8	0	6	42	37	58	576
M9	0	6	23	50	64	601
M10	2	8	33	53	47	564
M11	0	3	31	49	60	595
M12	2	11	47	47	36	533
M13	6	8	34	44	51	555

Code	Less significant			More significant		Total score

	1	2	3	4	5
F1	1	0	7	9	126	688
F2	1	21	39	47	35	523
F3	8	9	31	55	40	539
F4	2	8	24	48	61	587
F5	4	7	34	46	52	564
F6	2	2	20	38	81	623
F7	8	16	36	46	37	517
F8	1	7	17	54	64	602
F9	1	16	41	45	40	536
F10	3	5	37	49	49	565
F11	0	3	11	26	103	658
F12	2	23	30	50	38	528
F13	2	12	34	49	46	554
F14	8	19	46	47	23	487
F15	7	25	46	38	27	482
F16	4	6	13	21	99	634
F17	6	5	14	31	87	617
F18	7	6	40	53	37	536
F19	6	15	26	41	55	553
F20	3	18	33	39	50	544
F21	5	14	33	43	48	544
F22	0	3	30	46	64	600
F23	0	4	21	51	67	610
F24	10	17	34	41	41	515
F25	2	13	28	48	52	564
F26	4	6	28	51	54	574
F27	2	8	51	27	55	554
F28	3	3	21	34	82	618
F29	7	15	37	49	35	519
F30	1	10	28	47	57	578
F31	4	17	36	47	39	529
F32	5	6	23	52	57	579

Code	Less significant			More significant		Total score

	1	2	3	4	5
M1	0	3	15	36	89	640
M2	0	2	23	68	50	595
M3	3	20	55	39	26	494
M4	1	10	35	49	48	562
M5	1	2	16	45	79	628
M6	0	6	22	53	62	600
M7	2	14	26	62	39	551
M8	0	6	42	37	58	576
M9	0	6	23	50	64	601
M10	2	8	33	53	47	564
M11	0	3	31	49	60	595
M12	2	11	47	47	36	533
M13	6	8	34	44	51	555

Code	Less significant			More significant		Total score

	1	2	3	4	5
F1	1	0	7	9	126	688
F2	1	21	39	47	35	523
F3	8	9	31	55	40	539
F4	2	8	24	48	61	587
F5	4	7	34	46	52	564
F6	2	2	20	38	81	623
F7	8	16	36	46	37	517
F8	1	7	17	54	64	602
F9	1	16	41	45	40	536
F10	3	5	37	49	49	565
F11	0	3	11	26	103	658
F12	2	23	30	50	38	528
F13	2	12	34	49	46	554
F14	8	19	46	47	23	487
F15	7	25	46	38	27	482
F16	4	6	13	21	99	634
F17	6	5	14	31	87	617
F18	7	6	40	53	37	536
F19	6	15	26	41	55	553
F20	3	18	33	39	50	544
F21	5	14	33	43	48	544
F22	0	3	30	46	64	600
F23	0	4	21	51	67	610
F24	10	17	34	41	41	515
F25	2	13	28	48	52	564
F26	4	6	28	51	54	574
F27	2	8	51	27	55	554
F28	3	3	21	34	82	618
F29	7	15	37	49	35	519
F30	1	10	28	47	57	578
F31	4	17	36	47	39	529
F32	5	6	23	52	57	579

Evaluation of workplace safety performance in the Chinese petroleum industry

Article Category: Case Study

Online veröffentlicht: 08. März 2019

Seitenbereich: 1904 - 1910

Eingereicht: 01. Apr. 2018

Akzeptiert: 21. Nov. 2018

DOI: https://doi.org/10.2478/otmcj-2018-0013

Schlüsselwörtersafety factors, protective methods, correlation analysis, petroleum industry, safety management

© 2019 Mingxue Ma et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Correlation analysis between the 15 important safety factors.